--- title: CVAT Reviews meta_title: 'CVAT Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 54 reviews by the users' company size, role or industry to find out how CVAT works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 54 scale: '5' date_modified: '2026-09-30' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # CVAT Reviews **Vendor:** CVAT.ai **Category:** [Data Labeling Software](https://www.g2.com/categories/data-labeling) **Average Rating:** 4.5/5.0 **Total Reviews:** 54 **AI Verified:** At least 10 G2 reviewers have confirmed using this product's AI features and functionality. ## About CVAT Company Overview: CVAT.ai is a global provider of data annotation tools and services, known for developing one of the most popular open-source annotation tools, CVAT. In addition to the open-source platform, we offer professional data labeling services, an Enterprise version of CVAT, as well as consulting and customization services to meet specific client needs. Our team supports businesses and AI researchers worldwide in efficiently managing data annotation for computer vision projects. Key Features: - Popular Open-Source Tool: CVAT is trusted by thousands of developers and organizations globally. - Data Labeling Services: We provide expert data labeling services to handle projects from start to finish. - Enterprise Version of CVAT: The Enterprise version offers advanced features, support, and scalability for larger organizations. - Consulting and Customization: We offer consulting services and can customize CVAT to match your project needs. Learn more about our approach to consulting and feature requests here. - AI-Assisted Automation: Our platform uses AI to enhance labeling efficiency and accuracy. - Team Collaboration: Teams can collaborate seamlessly on large-scale projects. - Customizable and Scalable: CVAT can be adapted to your project size and needs. - Secure: We meet global data privacy and security standards. What We Solve: CVAT.ai helps users reduce manual efforts by making data annotation faster, more accurate, and easy to manage. Through our open-source platform, professional labeling services, consulting, and the Enterprise version, we offer a flexible, comprehensive solution for any computer vision project. ## CVAT Pros & Cons Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews. **What users like:** - Users commend the **annotation efficiency** of CVAT.ai, noting impressive speed and quality in handling complex tasks. (7 reviews) - Users appreciate the **intuitive and efficient interface** of CVAT.ai, enhancing the annotation process for large datasets. (4 reviews) - Users commend the **efficiency** of CVAT.ai, highlighting its intuitive interface and seamless collaboration for large datasets. (4 reviews) - Users commend the **high quality** of CVAT.ai's annotations, highlighting impressive speed and effective collaboration. (4 reviews) - Users commend the **excellent customer support** from CVAT.ai, facilitating smooth resolutions to technical challenges. (3 reviews) - User Interface (3 reviews) - Users value the **customization options** of CVAT.ai, allowing for tailored projects and versatile setup scenarios. (2 reviews) - Users praise the **efficient data management** features of CVAT.ai, enhancing productivity with seamless integration and intuitive tools. (2 reviews) - Users appreciate the **versatile annotation options** of CVAT.ai, highlighting its comprehensive support for various computer vision algorithms. (2 reviews) - AI Modeling (1 reviews) **What users dislike:** - Users find the platform **difficult to learn** , particularly for beginners who may feel overwhelmed by its functions. (2 reviews) - Users find the **complexity** of CVAT.ai challenging, particularly for beginners struggling to navigate its functions. (1 reviews) - Users face **labeling issues** due to inconsistent approaches, but support promptly addresses these concerns to improve accuracy. (1 reviews) - Users note the **lack of support for large 16-bit images** , which limits functionality and usability in their workflows. (1 reviews) - Users experience **slow performance** when handling very large video files and thousands of images on CVAT.ai. (1 reviews) - Upload Issues (1 reviews) ## CVAT Reviews ### 1. Fast, User-Friendly Annotation with Powerful Auto-Labeling in CVAT **Rating:** 5.0/5.0 stars **Reviewed by:** Annotationbd M. | Owner, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 25, 2026 **What do you like best about CVAT?** I'm using CVAT for the annotation purpose. It's very user friendly compare than other tools. I like Bounding box, polygon, segmentation and keypoints parts with CVAT most. It's takes very little time and convenient to use. Also price is cheap compare than other tools. Also it's have ai feature to run auto annotation and it works perfectly. It's very good performance. I can add my labelers to this platform very easily and their support team is very helpful. Yes, I can export and import data with other tools with CVAT perfectly. Usually, my client give me the COCO or YOLO annotations format after that I import it on CVAT. And it works smoothly. **What do you dislike about CVAT?** It's quite slow when load too many objects in one frame **What problems is CVAT solving and how is that benefiting you?** The mask grouping and polygon merge tool helps me my annotation feature ### 2. CVat Makes the Annotation Work Times Faster **Rating:** 5.0/5.0 stars **Reviewed by:** Ekaterina V. | CTO, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 23, 2026 **What do you like best about CVAT?** 1) The continuous upgrades keep improving the tool and make my annotation work faster and higher quality. 2) The filtering options and mass-apply actions make it easy to apply changes across the whole dataset. 3) I also really like the stats views—they help me keep track of class balance. The export formats are standard helping me to fine tune my model easily. **What do you dislike about CVAT?** Quite pricey and the UI can be a bit slow at times - especially when running the SAM on a new image. It would be great to have an option of pre-running SAM on the whole dataset to keep it warm. **What problems is CVAT solving and how is that benefiting you?** We are building a wicked cool instance segmentation model and CVat is the best annotation tool for the ground truth dataset creation. ### 3. Extensive API, Easy to Use, and Affordable **Rating:** 4.5/5.0 stars **Reviewed by:** Johannes . | AI Engineer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 20, 2026 **What do you like best about CVAT?** It has an extensive API that can be used to integrate with other tools. It’s easy to use and affordable. **What do you dislike about CVAT?** I’d like to see more role options. For example, a role similar to the manager role, but without the ability to make changes to projects—only to reassign tasks. It would also be very useful if annotators could assign tasks to themselves, so the workflow is more of a pull model rather than a push model. The filtering feature also feels a bit lackluster. I’d like an easier way to save and reapply commonly used filters. **What problems is CVAT solving and how is that benefiting you?** We have a lot of data that needs annotating, and CVAT solves that exact problem without trying to upsell other unnecessary features that we won't use. ### 4. User-Friendly with Robust Functionality, Needs Improved Automation **Rating:** 3.5/5.0 stars **Reviewed by:** Shobhit P. | Mid-Market (51-1000 emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 03, 2026 **What do you like best about CVAT?** I find CVAT very easy to use, thanks to its user-friendly UX and UI, which makes getting hands-on with the web application straightforward. When I first started exploring tools for image segmentation and annotations, CVAT stood out as being very user friendly. It not only simplifies the workflow but also helps manage projects effectively with its capabilities to handle multiple tasks and jobs, making the flow of work much easier. The project management features, like assigning and tracking the status of annotations, are particularly useful when working in a team. The tool also proves helpful by facilitating seamless collaboration, as my team could easily pick up and manage their tasks even when I was not available. Additionally, the initial setup of CVAT was straightforward due to the helpful guidelines and approachable UI design, allowing me to understand and carry out my tasks with ease. **What do you dislike about CVAT?** I feel like CVAT could improve its automatic annotation capabilities. With other tools like RoboFlow, once I've annotated some frames, the tool can auto-detect and annotate the remaining frames, which I find really efficient, especially for large datasets. Having to manually annotate thousands of images in CVAT is time-consuming. I also think the exporting process needs clarification because I struggled with understanding which export format was right for my task. If there were descriptions provided for each format, it would make it a lot easier to choose the right one for specific applications like segmentation or detection. **What problems is CVAT solving and how is that benefiting you?** CVAT makes segmentation easy with its AI tool, especially for manual masking. It's user-friendly, supports project management, and lets my team track tasks efficiently. ### 5. Flexible, Multi-Format Annotation Tool for Computer Vision Projects. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 03, 2026 **What do you like best about CVAT?** Simple to learn, simple to plan and implement. I needed it for a computer vision project — hand-annotating thousands of dental X-rays with polygon masks across multiple classes — and CVAT's annotation tools made that workflow manageable even as a new developer to the space. Strong value for money. Given the annotation and export flexibility — multi-format support, reliable segmentation tools, and responsive support when I've needed it — the subscription cost is easily justified for a solo developer building a real dataset. I haven't found a comparable tool at this price point that covers the same ground. **What do you dislike about CVAT?** The main gap is around batch preprocessing. CVAT doesn't have a built-in de-duplication feature, and there's no way to resequence a batch of X-ray filenames — long alphanumeric strings — into a clean, ordered sequence like 01.png, 02.png, etc. I ended up scripting this myself in Colab before uploading. It's not technically difficult, but it's extra overhead on every batch, and a built-in tool for de-duplication and file resequencing would be a genuinely useful addition for anyone managing large image datasets. **What problems is CVAT solving and how is that benefiting you?** CVAT solves the core bottleneck in building a training-ready dataset: getting from raw images to clean, usable annotations. It handles labeling well, and the exports are genuinely useful — I can pull annotations directly into a training pipeline without extra reformatting. Importing large batches of images is straightforward, and the format flexibility is a real benefit: working across CVAT 1.1, YOLO segmentation, Pascal VOC, and others means I can export in whatever format a given training setup actually needs, rather than being locked into one. That flexibility lets a developer use the annotated data however fits their workflow, not just CVAT's own format. ### 6. Model-Assisted CVAT Annotation Turned Weeks of Work Into Days **Rating:** 4.0/5.0 stars **Reviewed by:** Fabian v. | Founder, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 19, 2026 **What do you like best about CVAT?** The biggest win for us is the model-assisted annotation loop. We run YOLO and SAM2 pre-annotation directly through CVAT, so the work is mostly verifying and correcting rather than labeling from scratch. For a small operation producing the computer-vision training data behind our product, that's the difference between a dataset taking weeks versus days. We also rely on the flexibility of handling multiple annotation types in one tool — we annotate ball and equipment bounding boxes, hockey stick parts, and pose keypoints, and the project/task structure keeps dozens of video tasks organized without friction. Being cloud-hosted means there's no annotation infrastructure for us to stand up or maintain, and the export formats drop straight into our YOLO/training pipeline. **What do you dislike about CVAT?** The main thing we hit was that the default exports include only the frames that have been explicitly annotated. For single-frame detection that's fine, but it breaks sliding-window, multi-frame temporal models that expect dense, contiguous frames — we ended up building a dense frame-extraction step around the export to work around it. The keypoint workflow also has a slightly steeper learning curve than plain bounding-box work. None of these are dealbreakers, but they're worth planning for. **What problems is CVAT solving and how is that benefiting you?** CVAT is the annotation backbone for the training data behind our sports-technique models — ball detection, stick detection, and pose keypoints across hockey and volleyball video. The pre-annotation integration dramatically cuts manual effort, which lets us produce high-quality, inspectable training datasets fast. That inspectability matters to us specifically: our analysis pipeline needs to stay auditable, and a clean, reviewable annotation process underneath it supports that. ### 7. Simplicity and Efficiency, But Possible Improvements **Rating:** 4.0/5.0 stars **Reviewed by:** Hamad E. | Small-Business (50 or fewer emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **AI Translated:** This review has been translated from French using AI. **Reviewed Date:** August 27, 2026 **What do you like best about CVAT?** I use CVAT to extract data in COCO01 for creating my AI. What I love most about CVAT is its simplicity and formatting. I particularly appreciate the ability to easily draw each contour of the image I want to digitize with the 'polygon' tool, as well as the ability to create as many attributes as I want. Initializing CVAT was quite simple and quick for me. **What do you dislike about CVAT?** I think the image loading time should be improved and, if possible, automate the polygon drawing on images. On several images, identical shapes exist. Instead of redrawing the same shapes each time, it would be necessary to automate the recognition of these shapes and generate the drawing. **What problems is CVAT solving and how is that benefiting you?** I find that CVAT solves my need to generate data to train my AI. I find it easy to use. The contour drawing feature with the 'polygon' tool and the ability to create multiple attributes are particularly useful for me. ### 8. CVAT: User-Friendly and Flexible for Data Labeling **Rating:** 5.0/5.0 stars **Reviewed by:** Ufuk U. | Small-Business (50 or fewer emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 25, 2026 **What do you like best about CVAT?** I use CVAT to label data for my CV projects involving detection, pose estimation, and segmentation. I like how it makes labeling easy and provides flexible export options which save time. The way I can organize projects and tasks is very user-friendly. A major advantage is handing over partial work to third parties without disclosing other projects. I appreciate the ability to export to any format or import from already labeled data, which makes CVAT my default choice. The dashboard helps me easily spot pending tasks and the specific frame that needs work, especially with multiple projects underway. CVAT is the most user-friendly tool I've tried, and I value the privacy of my work. The initial setup was a piece of cake. **What do you dislike about CVAT?** I wanted to experience SAM2 and 3 for some projects but I get the feeling that the scheme for using those tools are not fully implemented the way they were meant to be. When I try to use SAM 3 for work using the magic wand menu, for instance, even when I pick an area that is visibly separated from the surroundings, the model or tool seems to get stuck no matter how many times I try. This does not always happen but happens frequently enough that I cannot fully rely on it. **What problems is CVAT solving and how is that benefiting you?** I use CVAT because it makes labeling easy, offers flexible exporting formats, and has a user-friendly dashboard that helps manage multiple projects effortlessly. ### 9. Powerful image annotation with prelabeling and review tools **Rating:** 4.5/5.0 stars **Reviewed by:** Katarzyna K. | Data Scientist, Information Technology and Services, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 18, 2026 **What do you like best about CVAT?** I use this powerful annotation tool for SEM microscopy image annotation. I like the extensive support of prelabelling through foundation models or custom models via API. I use quality tools for reviewing, like quality reports and create issues with a review mode. The ui is nice and there are helpful shortcuts. It is worth the money. Performance is fine, but could be improved and there is the cvat documentation available online, it could be slightly improved as well. **What do you dislike about CVAT?** No option for annotation around an object of no interest. For example, an object of no interest lies within an inner circle of an object of interest. I would like to exclude that object. Shortcut for viewing and hiding the annotations during `Review` mode. Slow loading times when opening projects, tasks, jobs. No option for exporting issues together with annotations. **What problems is CVAT solving and how is that benefiting you?** Team collaboration for image annotation ### 10. A Reliable Platform for Research-Grade Annotation **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** July 30, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about CVAT?** What initially attracted me to CVAT.ai was the ability to use the free cloud version to learn the platform and validate my annotation workflow before making any investment. That allowed me to develop my annotation schema, understand the tool's capabilities, and confirm it met the needs of my research. As the scope of my doctoral project grew, I discovered that CVAT also offers Professional Labeling Services, which made it possible to scale the annotation effort while maintaining the quality standards I had established. The biggest strength of CVAT.ai was the combination of a flexible annotation platform and a collaborative Professional Services team. My research required far more than basic bounding boxes. I developed a custom annotation schema with five object classes and additional attributes for blur, occlusion, and truncation, along with detailed annotation guidelines and objective quality acceptance criteria. The Professional Services team worked through multiple review cycles, incorporated feedback as the annotation guidelines evolved, and consistently applied the specification across the dataset. The final dataset integrated directly into my YOLO training pipeline and became the foundation of my doctoral research. The ability to move seamlessly from evaluating the platform on my own to partnering with the Professional Services team made CVAT a valuable part of the project from start to finish. **What do you dislike about CVAT?** I honestly didn't encounter any significant issues during my project. The platform met my needs from the initial evaluation through the completion of my doctoral research, and my experience with the Professional Labeling Services team was consistently positive. Any questions or feedback I had during the annotation process were addressed through the normal review cycle, making the overall experience smooth and collaborative. **What problems is CVAT solving and how is that benefiting you?** CVAT.ai solved two problems for me: creating a high-quality annotated dataset and scaling that effort without sacrificing consistency. For my doctoral research in computer vision, it wasn't enough to simply label thousands of images. I needed a dataset where differences in model performance reflected the models and training data rather than inconsistencies in the annotations themselves. Using CVAT, I was able to design and validate a custom annotation schema, then partner with the Professional Labeling Services team to apply that specification consistently across a large dataset through multiple review cycles. The result was a research-grade dataset that I could confidently use for training and evaluating object detection models. That foundation allowed me to focus on answering my research questions instead of spending months manually annotating data. ### 11. CVAT: smooth collaboration and time-saving for AI annotation **Rating:** 5.0/5.0 stars **Reviewed by:** Anthony R. | Ingénieur en Intelligence Artificielle (IA), Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **AI Translated:** This review has been translated from French using AI. **Reviewed Date:** June 12, 2026 **What do you like best about CVAT?** What I particularly appreciate about CVAT is the ability to collaborate effectively with a team during the annotation phases; the platform really facilitates working together on the same AI project. The management of annotation classes is clear and well thought out, and the tool is generally smooth to use on a daily basis. Another strong point: the ability to import an already annotated dataset as a starting point, which allows you to gradually enrich your training data without starting from scratch. This is a considerable time saver in ML pipelines. **What do you dislike about CVAT?** One possible area for improvement concerns the task filtering system, which could be a bit more intuitive. When managing multiple projects in parallel, it takes some time to adapt to navigate effectively. It's not a blocker, but a simplified filtering interface would be an appreciated addition for teams working on large volumes. **What problems is CVAT solving and how is that benefiting you?** CVAT helps us structure and accelerate the annotation phase, which is often the bottleneck in computer vision projects. The platform allows us to centralize team annotation work, manage detection classes rigorously, and import existing datasets that we have generated using AI upstream, to iteratively enrich them. This significantly reduces the time between image collection and model training. ### 12. Intuitive annotation but more customizable annotation types are needed **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Farming | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 26, 2026 **Describe the project or task CVAT helped with:** This service provides a platform for annotating images and videos with various tools such as bounding boxes, keypoints, and segments. It supports both manual annotation and the correction of pseudo-labels generated by machine learning models. The platform is designed to be user-friendly and cost-effective, making it suitable for a wide range of annotation tasks. **What do you like best about CVAT?** - Bounding box or keypoint selection works well and intuitively, even when boxes and keypoints are clustered in a complex manner.
- Image loading is fast (1280 × 720 pixels).
- Object tracking interpolation across frames saves a lot of time. **What do you dislike about CVAT?** - I need to annotate one bounding box around each plant and a single keypoint corresponding to its growing point. I couldn't find an annotation type that fits my needs. The skeleton annotation allows me to define keypoints, but not a bounding box. I managed to work around this by annotating bounding boxes and keypoints separately and then connecting them using the grouping feature, but this is clearly a suboptimal solution. Am I missing something?
- Sometimes I need to check the annotations for a specific image. I'd like to find the image through the dashboard, at the project/task/job level, using its filename/path or ID. Is that possible? Right now, I can only find it give its index.
- I couldn't easily find information in the documentation about how annotations should be structured when importing them into an existing project. **Recommendations to others considering CVAT:** - Consider adding more customizable annotation types to better fit diverse needs.
- Enhance the dashboard search functionality to allow finding images by filename/path or ID.
- Improve documentation to clearly explain how to structure annotations for import. **What problems is CVAT solving and how is that benefiting you?** I want my annotation team to annotate images and videos with bounding boxes, keypoints, and segments, either from scratch or by correcting pseudo-labels generated by my in-house models. I think CVAT allows me to do this and is flexible enough for my needs. Other companies may offer similar or even more advanced features, but I'm happy with CVAT as long as it remains simple to use and reasonably priced. ### 13. Streamlined Annotation with Powerful AI and Export Options **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 25, 2026 **What do you like best about CVAT?** I really like the AI models in CVAT because they make meticulous annotation work easy with the latest models available. They are fairly accurate with our datasets, and even when they're not, we can easily tweak them. The export feature is crucial for us as it allows us to use annotations collected on the software and pick the format of the export, which is useful. CVAT allows us to share our datasets among annotators worldwide, link our data in AWS securely and quickly, review annotations with ease, and efficiently bring on and off annotators. I use CVAT with AWS S3 storage to load the images, and I find the integration quite smooth. **What do you dislike about CVAT?** It's not intuitive how we switch between segmentation to image-level labels, which confuses our annotators and takes time. There have been several complaints that CVAT doesn't save work automatically. Annotations should save as soon as they are created or edited. Setting up the template for labeling took some time because the UI is a bit flaky and the process is lengthy with several button clicks. **What problems is CVAT solving and how is that benefiting you?** CVAT lets me share datasets globally, securely link with AWS, review annotations easily, and manage annotators efficiently. The AI models simplify meticulous tasks, and the export feature supports external training, making it invaluable for annotating healthcare datasets. ### 14. Convenient, Scalable and Open Source **Rating:** 4.5/5.0 stars **Reviewed by:** German V. | CTO, Retail, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 18, 2026 **What do you like best about CVAT?** I find CVAT.ai convenient to use between our core team and our outsourced annotators. It supports specific shapes that other similar tools do not support. The export and API access is reliable. While currently we enjoy the SaaS platform, it's good to know that they are open-source, and when there's financial justification, we can set up our own instance with minimum transition cost. I particularly appreciate the ease of use and the open-source nature. The annotation process is quick and reliable, and the workflow is managed. Setting up CVAT.ai was very easy. **What do you dislike about CVAT?** When we export large amount of data for the backup, the job may fail. **What problems is CVAT solving and how is that benefiting you?** CVAT.ai makes the annotation process quick and reliable, managing workflow between our core team and outsourced annotators. It supports unique shapes others don't, with reliable export and API access. The open-source nature promises minimal transition cost if we scale. ### 15. Streamlines Annotation with Room for Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Ani G. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 03, 2026 **What do you like best about CVAT?** I love using CVAT.ai because it gives us a seamless experience with our data annotation. Since our team is dispersed across different locations, it's much easier for everyone to log in to a central portal to do annotations. One of the key features that I like is the ability to pinpoint a specific object instance, create a hyperlink for it, and send it to my team with questions or queries regarding it, and vice versa. **What do you dislike about CVAT?** I think the user experience, especially the platform's loading speed, could be improved significantly. Sometimes it feels very slow. Also, I wish there was real-time analytics instead of having to refresh analytics all the time. On another note, during the initial setup, onboarding team members was tricky because they couldn't see any batches and tasks unless I made them admin. **What problems is CVAT solving and how is that benefiting you?** I use CVAT.ai for data annotation, providing a seamless experience for my dispersed team to log in to a central portal. The hyperlink feature allows specific instance sharing for queries. It also handles multi-attribute labeling, unlike our previous tool. ### 16. CVAT’s “Show bitmap” and Auto-Bordering Boost Labeling Productivity **Rating:** 4.5/5.0 stars **Reviewed by:** Jorge R. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 03, 2026 **What do you like best about CVAT?** Several features in CVAT are very helpful for increasing productivity during labeling. First, the “Show bitmap” option is especially powerful for catching human errors, such as missing gaps between adjacent polygons. Another useful feature is the automatic bordering option, which helps when working with adjacent polygons by making it easier to add only the remaining polygon. **What do you dislike about CVAT?** There are a few features that could improve CVAT. First, being able to add new images to an existing task would be helpful, although it might introduce some drawbacks for the current data management workflow. Another useful improvement would be, during export, having the option to select multiple tasks from a project and/or exclude images that haven’t been labeled yet. This is still easy to fix in the exported file, but having this option built in could be very powerful and would make the process smoother. **What problems is CVAT solving and how is that benefiting you?** The platform improves both productivity and the overall quality of labeled data. In my experience, its polygon annotation tools make the labeling process much more efficient and faster, while still maintaining strong data quality. ### 17. CVAT: Easy to Use, Powerful, and Essential to Our Workflow **Rating:** 5.0/5.0 stars **Reviewed by:** Doug A. | CEO, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 20, 2026 **What do you like best about CVAT?** CVAT has been a great tool for our company. Its ease of use and strong capabilities make it a crucial part of our workflow, and it fits smoothly into the way our team works. **What do you dislike about CVAT?** One of the biggest limitations was having multiple people work on one project at a time, but that has improved. **What problems is CVAT solving and how is that benefiting you?** CVAT puts our data in one spot and makes it accessible to all parties ### 18. Efficient Video Annotation for AI Safety Workflows **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Maritime | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 03, 2026 **What do you like best about CVAT?** CVAT.ai has been very useful for our AI workflow at EVI Safety Technology, especially for video annotation in maritime safety scenarios. The UI is intuitive, onboarding was quick, and the platform integrates well with our existing pipeline. Performance has been stable even with large video datasets, while AI-assisted annotation helps reduce manual work and speeds up dataset preparation significa **What do you dislike about CVAT?** Some advanced workflows and settings can still feel slightly technical for non-engineering users, especially during project configuration or task management at scale. **What problems is CVAT solving and how is that benefiting you?** Before using CVAT.ai, preparing and managing annotated video datasets for our maritime safety AI models was much more manual and time-consuming. CVAT.ai helped us standardize the annotation workflow, accelerate dataset preparation, and improve collaboration between technical and operational teams. This has significantly reduced labeling time and allowed us to test and iterate AI models faster, especially for safety-related video analytics scenarios. ### 19. Smooth Annotations, Auto-Labeling, and Flexible Export Formats **Rating:** 4.0/5.0 stars **Reviewed by:** Mohan D. | AI Engineer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 20, 2026 **What do you like best about CVAT?** Auto-labeling, the ability to export different types of labeling formats, and the smoothness when drawing annotations. **What do you dislike about CVAT?** It takes a lot of time to load images, and exporting also takes a long time. There’s no option to abort an export once it has started. **What problems is CVAT solving and how is that benefiting you?** We use CVAT for labeling object detection and segmentation datasets. It provides a collaborative labeling ecosystem, along with a review mechanism. ### 20. Easy to Use, Flexible External Data Connections, Helpful for organized work **Rating:** 4.0/5.0 stars **Reviewed by:** Matthew T. | Student Researcher, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 20, 2026 **What do you like best about CVAT?** Easy to use, can connect with different types of external data, cloud, etc. Can organize into projects, sub-projects, tasks, etc **What do you dislike about CVAT?** A bit expensive for my personal use. Wish more features for labeling **What problems is CVAT solving and how is that benefiting you?** Needed it to review/fix labels for my dataset. Makes it easier to keep things organized and create labels on the online UI ### 21. Easy-to-Use GUI and API for Smooth Annotation Workflows **Rating:** 5.0/5.0 stars **Reviewed by:** Katie M. | PhD student, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 25, 2026 **What do you like best about CVAT?** The GUI is easy to use and review your dataset pre- and post- annotation. The API also allows easy transfer of files and annotations. Very well designed **What do you dislike about CVAT?** The price is really the only downside here **What problems is CVAT solving and how is that benefiting you?** Visualisation of data throughout the annotation surgery. This is made even simpler with support teams ### 22. Efficient data annotation with intuitive usability **Rating:** 4.5/5.0 stars **Reviewed by:** Felix R. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **AI Translated:** This review has been translated from German using AI. **Reviewed Date:** July 14, 2026 **What do you like best about CVAT?** I like pre-annotating data with CVAT.ai, it works really well. The platform is intuitive to use, and I quickly found what we intended to do. Compared to our self-built tool, CVAT.ai is simply incomparable. It greatly reduces the labeling effort, I estimate to a quarter to a fifth of what it would otherwise be. Overall, I find it really good, even if it might take a bit of time to get used to. **What do you dislike about CVAT?** Yes, so maybe it needs a bit of familiarization time, but overall I actually find it really good. **What problems is CVAT solving and how is that benefiting you?** With CVAT.ai, I can pre-annotate complex image data, which reduces the labeling effort by 75-80% and saves a lot of time. There are many quick shortcuts. ### 23. Easy and Great Value for Its Cost **Rating:** 4.5/5.0 stars **Reviewed by:** lshandra@720tec.es S. | Lead developer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **AI Translated:** This review has been translated from Spanish; Castilian using AI. **Reviewed Date:** August 26, 2026 **What do you like best about CVAT?** Ease of use, simplicity, and cost for the value obtained **What do you dislike about CVAT?** Slowness in downloading large datasets, often involves several steps and occasionally there are specific errors **What problems is CVAT solving and how is that benefiting you?** It provides speed in the creation of artificial vision datasets and allows for rapid cycling ### 24. User-Friendly, Excellent Support for Team Collaboration **Rating:** 5.0/5.0 stars **Reviewed by:** V. R. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 12, 2026 **What do you like best about CVAT?** I appreciate that their team is available and feels humble, genuinely looking to satisfy customers, and it's not complicated to get help. I also like their human approach. I love that they have student prices, making it accessible. The tool is user-friendly and easy to understand, even before reading their documentation, which makes it approachable. I also love the many options available to work with complementary tools like Segment Anything. **What do you dislike about CVAT?** Nothing! I disliked how zooming on images would sometimes block comments or options within, but after telling them about it, they resolved the issue. **What problems is CVAT solving and how is that benefiting you?** I use CVAT.ai for working with a team online, using verification and validation, managing user permissions, and getting assistance promptly from their supportive team. ### 25. Significantly Reduced Our Data Annotation Time **Rating:** 5.0/5.0 stars **Reviewed by:** Vu T. | Postdoctoral Researcher, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 03, 2026 **What do you like best about CVAT?** It helped us reduce the time required to annotate a large amount of data. **What do you dislike about CVAT?** Sometimes we need to reload the website because it freezes. **What problems is CVAT solving and how is that benefiting you?** It helped us annotate our dataset, which we will use to train our AI model. ### 26. Cost-Effective and User-Friendly for Data Annotation **Rating:** 4.0/5.0 stars **Reviewed by:** Christopher M. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 26, 2026 **What do you like best about CVAT?** I find CVAT easy to use, cloud-based, and cost-effective for our data annotation needs. The software is straightforward to teach to others, which is crucial for maintaining a standard operating procedure. Additionally, I appreciate that the initial setup was very easy. **What do you dislike about CVAT?** Improving multi select features. **What problems is CVAT solving and how is that benefiting you?** I find CVAT easy to use for data annotation, making it accessible for teaching others. It's also cost-effective and cloud-based, which suits our needs well. ### 27. Easy Project Navigation and Smooth Team Collaboration **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 25, 2026 **What do you like best about CVAT?** I enjoy being able to easily navigate multiple projects and collaborate with co-workers. If you're using the product a lot (weekly to daily), it is absolutely worth the price, especially if working in a team and collaborating on projects. **What do you dislike about CVAT?** It is sometimes difficult to find certain features. **What problems is CVAT solving and how is that benefiting you?** CVAT allows me to easily annotate images for my ecology computer vision research project, and review the annotations of those working for me. ### 28. Hotkeys and Labeling Tools That Make Annotation Easy. **Rating:** 4.0/5.0 stars **Reviewed by:** Bryce R. | Machine Learning Engineer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 04, 2026 **What do you like best about CVAT?** All of the hotkeys and tools for labeling **What do you dislike about CVAT?** It is slow at times, and only allows me to view single images at a time. **What problems is CVAT solving and how is that benefiting you?** Data labeling ### 29. A Strong Tool for MV Annotation Projects and Development **Rating:** 4.0/5.0 stars **Reviewed by:** Antti V. | CEO, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 04, 2026 **What do you like best about CVAT?** A good tool for MV annotation projects and development. Pricing is also affordable **What do you dislike about CVAT?** Maybe there should be more foundation models available, along with a “single-shot” annotation option, so only a few images are needed instead of thousands. **What problems is CVAT solving and how is that benefiting you?** Annotation of large amount of images and creating pipeline for MV model training. ### 30. Effortless Annotation with CVAT **Rating:** 5.0/5.0 stars **Reviewed by:** Sean C. | Small-Business (50 or fewer emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 03, 2026 **What do you like best about CVAT?** I like CVAT for the differentiation of pictures and manual segmentation capabilities, which are really helpful for my annotation work. The initial setup was very easy for me. **What do you dislike about CVAT?** nothing **What problems is CVAT solving and how is that benefiting you?** CVAT helps me with annotation and differentiating pictures through manual segmentation. ### 31. Powerful Tagging Capabilities, but Filters Could Be Improved **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **AI Translated:** This review has been translated from Spanish; Castilian using AI. **Reviewed Date:** September 03, 2026 **What do you like best about CVAT?** I like using the SDK-CLI commands that can be executed from the console using Python scripts with CVAT. **What do you dislike about CVAT?** I don't understand why the AI segmenter 3 of CVAT doesn't work for me. Also, the filter for masks and images is complicated to handle and needs better explanation. **What problems is CVAT solving and how is that benefiting you?** CVAT helps me tag masks in multiple polygons to train a segmenter, but the filter for masks and images is complicated to use. ### 32. Comprehensive Annotation Tool with Good Export Options and Segment Anything **Rating:** 4.5/5.0 stars **Reviewed by:** Eric T. | President, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 03, 2026 **What do you like best about CVAT?** Comprehensive set of annotation tools, good exports, Segment Anything integration **What do you dislike about CVAT?** The workflows can be a bit confusing, especially when it comes to the project and task hierarchies. **What problems is CVAT solving and how is that benefiting you?** Using it to train models to identify fish to species ### 33. Easy to Use, Excellent Multi-User Team Management **Rating:** 4.5/5.0 stars **Reviewed by:** Paul K. | Director, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through Google One Tap using a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 02, 2026 **What do you like best about CVAT?** CVAT is easy to use, and it does a great job of supporting the setup and management of multi-user teams. **What do you dislike about CVAT?** We found that, for the small datasets we work with, we could reduce costs by integrating the self-hosted version instead of using the shared, cloud-based option. **What problems is CVAT solving and how is that benefiting you?** We develop bespoke models to identify individual endangered species, even when working with small datasets, and CVAT alllows us to provide a quick turnaround on the model training data. ### 34. Easy to Learn and Use, Mostly Intuitive. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 22, 2026 **What do you like best about CVAT?** Easy to learn and use. Intuitive for the most part. **What do you dislike about CVAT?** Price is quite high for solo user. 300 SEK per month currently, and for each extra user. I would have appreciated a lower price for each extra user. I would set the price around 150-200 SEK per month. **What problems is CVAT solving and how is that benefiting you?** I build a business around computer vision, and it helps me to annotate images for different AI models for mobile application foremost. ### 35. Great Workflow Organization, but Editing Existing Projects Is Tricky **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Environmental Services | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 09, 2026 **What do you like best about CVAT?** The ability to separate workflows into projects tasks and jobs. **What do you dislike about CVAT?** That it's very difficult to tweak or alter existing projects, like adding a single image. **What problems is CVAT solving and how is that benefiting you?** labeling for training custom machine learning architectures for conservation ### 36. Fast, Professional, and Collaborative **Rating:** 5.0/5.0 stars **Reviewed by:** Aida F. | PhD Student in Machine Learning, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: G2 invite:** Invitation from G2. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** September 10, 2025 **What do you like best about CVAT?** Working with the professional CVAT team was a great experience. They combined high speed with good quality, and whenever they had any doubts, they asked questions so we could move forward together. Their website was also very convenient and effective for reviewing work. Overall, it was a very positive experience. **What do you dislike about CVAT?** One minor challenge was that in some complex cases, it seemed like the data might have been labeled with slightly different approaches — possibly by different annotators or through a mix of manual and automated labeling. However, once we provided feedback, the team was quick to make the necessary corrections to preserve consistency in our dataset. **What problems is CVAT solving and how is that benefiting you?** it makes the annotation process easy ### 37. Easy-to-Use, User-Friendly Tools—With Room to Improve **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Machinery | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** February 17, 2026 **What do you like best about CVAT?** Easy to use toool and user friendly Tools **What do you dislike about CVAT?** Can become slow when handling: Very large video files Thousands of images **What problems is CVAT solving and how is that benefiting you?** Organised data management ### 38. Great product and annotation service **Rating:** 5.0/5.0 stars **Reviewed by:** Burak C. | CTO, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google using a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 02, 2025 **What do you like best about CVAT?** As a company, we're using CVAT platform for annotations. Also we received the annotation service. It was a very good experience for us. All images annotated and handed over to us smoothly. **What do you dislike about CVAT?** Everything is in high quality. We didn't have any issues with both annotation service and platform itself. **What problems is CVAT solving and how is that benefiting you?** Our internal data annotation team uses CVAT platform to annotate our data. Also for bulk data annotations, we receive a service from CVAT. ### 39. Great experience working with CVAT **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account added to their profile **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** July 03, 2025 **What do you like best about CVAT?** The CVAT team was very responsive and took into account our feedback over multiple iterations of reviewing the annotation work that they did for us. The quality of the annotations was excellent. **What do you dislike about CVAT?** There was nothing strikingly negative about CVAT. If using the user interface it might take some back and forth to get used to it, but most things we needed were there. **What problems is CVAT solving and how is that benefiting you?** Cutting the time it would have taken our lab to generate the annotations ourselves. ### 40. Easy tool for Data Annotation. **Rating:** 4.0/5.0 stars **Reviewed by:** Charan K. | Lead Writer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 13, 2024 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about CVAT?** The best Cvat.ai does is that it has many annotation options that works with different Computer vision algorithms. Boxed, polygon and even Segmentation annotations are possible. They have few Pretrained models to select and annotated based on them, or we could upload our custom pre trained computer vision model and annotation based on the already annotated dataset. Very helpful tool if you want work on custom models as well. **What do you dislike about CVAT?** Initially it can be a little time-consuming to figure out how you upload the data and start annotation. Not beginner-friendly. **What problems is CVAT solving and how is that benefiting you?** I use CVAT for annotating image data for my use case. I have used them separately and downloaded the annotation format for the images, as well as imported a custom trained model and added more data to continue annotation as per my Custom model required label structure. Finding annotation for polygons, especially the shape of the polygon for my use case, was intricate and Cvat helped me in it. I can't be disclosing more information about how I use them or for what project due to the NDA. If this review is not good enough, stop sending me emails to review products. ### 41. User Experience Challenges with CVAT.ai: Interface Complexity and Performance Issues **Rating:** 5.0/5.0 stars **Reviewed by:** Prachi S. | Teaching Assistant, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 12, 2024 **What do you like best about CVAT?** What I like best about CVAT.ai is its intuitive interface and versatile annotation tools, which make it easy for students to handle data labeling efficiently. The platform’s collaborative features are also a big plus for group projects, helping streamline teamwork and improve productivity in the lab. **What do you dislike about CVAT?** One downside of CVAT.ai is its interface can be a bit complex for beginners. The array of features might be overwhelming, making it harder for new users to get started efficiently. Also, it can be slow when handling very large datasets, which can interrupt the workflow. **What problems is CVAT solving and how is that benefiting you?** CVAT.ai makes data annotation easier and more efficient by offering versatile tools for annotating images and videos, supporting various formats, and enabling team collaboration. It helps streamline the process of preparing data for machine learning, which speeds up project workflows and improves model accuracy. ### 42. great services for image annotations **Rating:** 5.0/5.0 stars **Reviewed by:** Carmel S. | Data Scientist, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** November 17, 2024 **What do you like best about CVAT?** I want to share my outstanding experience using CVAT.AI services for my medical imaging thesis! 🏥

Key highlights:Special thanks to CVAT.AI co-founder Nikita Manovich for providing exceptional personal support when I encountered technical challenges. **What do you dislike about CVAT?** missing support for "large" images where each pixel is 16 bit. **What problems is CVAT solving and how is that benefiting you?** easy system for collaboration and labeling images ### 43. A tool of great power, enabling its users to mark large sums of data quickly and efficiently. **Rating:** 4.0/5.0 stars **Reviewed by:** Anand D. | Options Trader | Candlestick Strategy Specialist, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 24, 2024 **What do you like best about CVAT?** Due to its simplicity and flexibility, it is possible to recommend CVAT for image and video annotation. Again the organization features, the UI/UX which was developed from the feedback of the professional annotators, its easy and efficient for big projects. **What do you dislike about CVAT?** It is quite easy to get lost especially for the beginners, and some of the functions might make you dizzy especially to those who are conversant. However, the fact that the files contain detailed information will offset this problem. **What problems is CVAT solving and how is that benefiting you?** CVAT enables us to successfully complete the work on large datasets for computer vision tasks and quickly annotate them. This greatly saves the time spent on AI training and minimizes the level of labor intensity, allowing us to direct our efforts to working on models. ### 44. Doing Computer Vision, Deep Learning and Data Science starting 2004, working with annotation tools. **Rating:** 5.0/5.0 stars **Reviewed by:** Nikolay S. | Principal Data Scientist, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 17, 2024 **What do you like best about CVAT?** Set of features that beats most of other platforms. Clear documentation. Versatility- you can set it up in various ways- in prems, locally, in cloud and even hosted by CVAT.ai. Compelling list of features: all annotation styles you can imagine- AABB, OBB, masks, points, lines, polygons. And you can get it for free if you're budget tight, and pro version if you have the resources, enjoying both worlds. Great support and documentation, you may not find in commercial tools. **What do you dislike about CVAT?** Well, it can be overwhelming - so many options, so many choices. But that is the price of versatility. **What problems is CVAT solving and how is that benefiting you?** Image and Video annotations for various DNN models. ### 45. CVAT made semantic segmentation of more than 500 images. Great quality and swift service. **Rating:** 4.5/5.0 stars **Reviewed by:** Rafael R. | data scientist, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** March 21, 2025 **What do you like best about CVAT?** They were very open and flexible to our requirements, a quite complex semantic segmentation of bio images. The annotation speed was amazing. The quality was also very good. **What do you dislike about CVAT?** Nothing special to mention. It may have taken some time to master the tool, reasonable anyway. **What problems is CVAT solving and how is that benefiting you?** Semantic segmentation of wood images. ### 46. Best tool for annotations **Rating:** 4.0/5.0 stars **Reviewed by:** Mahesh B. | data scientist, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 03, 2024 **What do you like best about CVAT?** Easy interface Collaboration with others Versatility in annotating the images We can use pre trained models to annotate images And it is open source **What do you dislike about CVAT?** Compared to others it might not have advanced features in automation Integrating custom models might need more learning There will be some limitations in terms of storage , and all in free version There will be some lag **What problems is CVAT solving and how is that benefiting you?** Cvat is solving the problem of annotating the images with different types of labelling like polygons, bounding boxes and all. And also it is automating annotations with pre trained models ultimately benefiting the user to annotate the images in less time ### 47. More than enough for comfortable annotation. **Rating:** 5.0/5.0 stars **Reviewed by:** Vadim Z. | Project Manager, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 26, 2024 **What do you like best about CVAT?** I found the platform highly intuitive and efficient for labeling and managing large datasets. Its user-friendly interface and the range of tools available made the annotation process smooth and streamlined, greatly enhancing productivity. **What do you dislike about CVAT?** I would recommend to make their UI design more modern. **What problems is CVAT solving and how is that benefiting you?** CVAT helps to annotate data for the development of neural networks. ### 48. Powerful and User-Friendly Annotation Tool **Rating:** 3.5/5.0 stars **Reviewed by:** samar A. | Markup Specialist, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 10, 2024 **What do you like best about CVAT?** I like CVAT.ai’s intuitive interface and its powerful annotation tools that streamline the labeling process for machine learning projects **What do you dislike about CVAT?** I dislike that CVAT.ai can be resource-intensive, sometimes causing performance issues on less powerful hardware **What problems is CVAT solving and how is that benefiting you?** solves the problem of efficient data annotation, benefiting me by speeding up the labeling process and improving the accuracy of my machine learning models. ### 49. Awesome tools for Annotation & labelling. **Rating:** 4.5/5.0 stars **Reviewed by:** Abhijit N. | Senior Analyst, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** July 26, 2024 **What do you like best about CVAT?** CVAT is a good tool for image annotation; it also provides labeling support for textual data. It helped me with image segmentation for an AI project. Implementation is easy. Customer support is average. **What do you dislike about CVAT?** While annotating images, some shortcut keys need improvement. They should add multiple output file support. Integration of data is quite difficult. I am not using it frequently as other tools are easier to use for other tasks. **What problems is CVAT solving and how is that benefiting you?** It is useful for image annotation & labeling tasks. I have used it for image segmentation. ### 50. Excellent platform, great service and support. **Rating:** 5.0/5.0 stars **Reviewed by:** Odi D. | Head of Tel-Aviv AI Lab, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** October 09, 2024 **What do you like best about CVAT?** High quality annotation and excellent support. **What do you dislike about CVAT?** I don't have any. It's a very good platform. **What problems is CVAT solving and how is that benefiting you?** Accurate labeling of images at scale. ## CVAT Discussions - [How reliable has CVAT Cloud been for uploads and auto-annotation jobs?](https://www.g2.com/discussions/how-reliable-has-cvat-cloud-been-for-uploads-and-auto-annotation-jobs) - [View CVAT pricing details and edition comparison](https://www.g2.com/products/cvat/reviews?section=pricing&secure%5Bexpires_at%5D=2026-10-02+06%3A56%3A09+-0500&secure%5Bsession_id%5D=7126b3d4-b325-479b-8efd-489e00983fce&secure%5Btoken%5D=737d7930c68fa228358f8f3bcc09a4ccc0fedf3048b116ba2800b57f1785886f&format=llm_user) ## CVAT Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Quality** - Labeler Quality - Task Quality - Data Quality - Human-in-the-Loop **Automation** - Machine Learning Pre-Labeling - Automatic Routing of Labeling **Image Annotation** - Image Segmentation - Object Detection - Object Tracking - Data Types **Speech Annotation** - Transcription - Emotion Recognition ## Top CVAT Alternatives - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) - 4.8/5.0 (356 reviews) - [Prolific](https://www.g2.com/products/prolific/reviews) - 4.6/5.0 (202 reviews) - [Roboflow](https://www.g2.com/products/roboflow/reviews) - 4.7/5.0 (160 reviews)