# CVAT.ai Reviews **Vendor:** CVAT.ai **Category:** [Data Labeling Software](https://www.g2.com/categories/data-labeling) **Average Rating:** 4.6/5.0 **Total Reviews:** 25 ## About CVAT.ai 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.ai Pros & Cons **What users like:** - Users value the **annotation efficiency** of CVAT.ai, highlighting its intuitive interface and diverse tools for productivity. (7 reviews) - Users praise the **user-friendly interface** of CVAT.ai, highlighting its efficiency and simplicity for large-scale annotation projects. (4 reviews) - Users commend the **efficiency** of CVAT.ai, noting its intuitive interface and tools that enhance productivity significantly. (4 reviews) - Users commend the **high-quality results** delivered by CVAT.ai, appreciating their speed and effective communication throughout projects. (4 reviews) - Users highlight the **exceptional customer support** from CVAT.ai, especially when facing technical challenges. (3 reviews) - User Interface (3 reviews) - Customization (2 reviews) - Data Management (2 reviews) - Features (2 reviews) - AI Modeling (1 reviews) **What users dislike:** - Users find CVAT.ai to be **difficult to learn** , especially for beginners, due to its complex functionalities. (2 reviews) - Users find the **complexity of the interface** overwhelming, particularly for beginners, despite detailed file information. (1 reviews) - Users experience **labeling inconsistencies** in complex cases, but the team promptly addresses feedback for improved accuracy. (1 reviews) - Users are frustrated by the **lack of support for large 16-bit images** , limiting their ability to work effectively. (1 reviews) - Users experience **slow performance** when processing very large video files and thousands of images in CVAT.ai. (1 reviews) - Upload Issues (1 reviews) ## CVAT.ai Reviews ### 1. Streamlines Annotation with Room for Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Ani G. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 03, 2026 **What do you like best about CVAT.ai?** 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.ai?** 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.ai 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. ### 2. 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.) **Reviewed Date:** June 03, 2026 **What do you like best about CVAT.ai?** 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.ai?** 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.ai 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. ### 3. 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.) **Reviewed Date:** June 03, 2026 **What do you like best about CVAT.ai?** 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.ai?** 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.ai 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. ### 4. 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.) **Reviewed Date:** June 04, 2026 **What do you like best about CVAT.ai?** A good tool for MV annotation projects and development. Pricing is also affordable **What do you dislike about CVAT.ai?** 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.ai solving and how is that benefiting you?** Annotation of large amount of images and creating pipeline for MV model training. ### 5. 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.) **Reviewed Date:** June 03, 2026 **What do you like best about CVAT.ai?** Comprehensive set of annotation tools, good exports, Segment Anything integration **What do you dislike about CVAT.ai?** The workflows can be a bit confusing, especially when it comes to the project and task hierarchies. **What problems is CVAT.ai solving and how is that benefiting you?** Using it to train models to identify fish to species ### 6. 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.) **Reviewed Date:** June 02, 2026 **What do you like best about CVAT.ai?** 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.ai?** 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.ai 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. ### 7. Fast, Professional, and Collaborative **Rating:** 5.0/5.0 stars **Reviewed by:** Aida F. | PhD Student in Machine Learning, Mid-Market (51-1000 emp.) **Reviewed Date:** September 10, 2025 **What do you like best about CVAT.ai?** 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.ai?** 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.ai solving and how is that benefiting you?** it makes the annotation process easy ### 8. 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.) **Reviewed Date:** February 17, 2026 **What do you like best about CVAT.ai?** Easy to use toool and user friendly Tools **What do you dislike about CVAT.ai?** Can become slow when handling: Very large video files Thousands of images **What problems is CVAT.ai solving and how is that benefiting you?** Organised data management ### 9. Great product and annotation service **Rating:** 5.0/5.0 stars **Reviewed by:** Burak C. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** June 02, 2025 **What do you like best about CVAT.ai?** 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.ai?** Everything is in high quality. We didn't have any issues with both annotation service and platform itself. **What problems is CVAT.ai 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. ### 10. Great experience working with CVAT **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** July 03, 2025 **What do you like best about CVAT.ai?** 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.ai?** 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.ai solving and how is that benefiting you?** Cutting the time it would have taken our lab to generate the annotations ourselves. ### 11. Easy tool for Data Annotation. **Rating:** 4.0/5.0 stars **Reviewed by:** Charan K. | Lead Writer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 13, 2024 **What do you like best about CVAT.ai?** 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.ai?** Intially it can be little time consuming to figure out, how you uoload the data and start annotation. Not beginner friendly. **What problems is CVAT.ai solving and how is that benefiting you?** I use CVAT for annotating image data for my use case. I have used them seperately and downloaded the annotation format for the images, as well 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. ### 12. 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.) **Reviewed Date:** September 12, 2024 **What do you like best about CVAT.ai?** 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.ai?** 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.ai 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. ### 13. great services for image annotations **Rating:** 5.0/5.0 stars **Reviewed by:** Carmel S. | Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** November 17, 2024 **What do you like best about CVAT.ai?** I want to share my outstanding experience using CVAT.AI services for my medical imaging thesis! 🏥 Key highlights: - Seamless integration with Google Cloud API for efficient CT scan image upload and hierarchical organization. - Intuitive annotation tools that facilitated smooth collaboration with our radiologist team. - Robust platform supporting professional medical image annotation workflows. - Flexible annotation export capabilities that seamlessly integrated with our development pipeline. 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.ai?** missing support for "large" images where each pixel is 16 bit. **What problems is CVAT.ai solving and how is that benefiting you?** easy system for colaboration and labling images ### 14. 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.) **Reviewed Date:** September 24, 2024 **What do you like best about CVAT.ai?** 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.ai?** It is quite easy to get lost especially for the beginers, 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.ai solving and how is that benefiting you?** CVAT enables us 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. ### 15. 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.) **Reviewed Date:** September 17, 2024 **What do you like best about CVAT.ai?** Set of features that beats most of other platforms. Clear documentatation. Versatility- you can set it up in various ways- in prems, locally, in cloud and ven hosted by CVAT.ai Copmpelling list of features: all annotation styles you can imagine- AABB, OBB, masks, poins, lines, polygons. And you can get oif for free if you;re budget tight, and pro version if you have the resources, enjoying both words. Great support and documentation, you may not find in commersial tools **What do you dislike about CVAT.ai?** Well, it can be overwelming- so many options, so manu choises. But that is the price of versatility **What problems is CVAT.ai solving and how is that benefiting you?** Image and Video annotations for varous DNN models ### 16. 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.) **Reviewed Date:** March 21, 2025 **What do you like best about CVAT.ai?** 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.ai?** Nothing special to mention. It may have taken some time to master the tool, reasonable anyway. **What problems is CVAT.ai solving and how is that benefiting you?** Semantic segmentation of wood images. ### 17. Best tool for annotations **Rating:** 4.0/5.0 stars **Reviewed by:** Mahesh B. | data scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** September 03, 2024 **What do you like best about CVAT.ai?** 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.ai?** 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.ai 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 ### 18. More than enough for comfortable annotation. **Rating:** 5.0/5.0 stars **Reviewed by:** Vadim Z. | Project Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** September 26, 2024 **What do you like best about CVAT.ai?** 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.ai?** I would recommend to make their UI design more modern. **What problems is CVAT.ai solving and how is that benefiting you?** CVAT helps to annotate data for the development of neural networks. ### 19. Powerful and User-Friendly Annotation Tool **Rating:** 3.5/5.0 stars **Reviewed by:** samar A. | Markup Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** September 10, 2024 **What do you like best about CVAT.ai?** 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.ai?** I dislike that CVAT.ai can be resource-intensive, sometimes causing performance issues on less powerful hardware **What problems is CVAT.ai 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. ### 20. Awesome tools for Annotation & labelling. **Rating:** 4.5/5.0 stars **Reviewed by:** Abhijit N. | Senior Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** July 26, 2024 **What do you like best about CVAT.ai?** CVAT is good tool for image annitation also it provides labelling supptort for textual data too. It helped me to image segmentation for AI project. Implementation is easy.customer support is average. **What do you dislike about CVAT.ai?** While annotating images need to improve some shortcut keys. they should add multiple output file support.Integration of data is quite diificult.I am not using frequently as other tool are easy to use for other tasks. **What problems is CVAT.ai solving and how is that benefiting you?** It useful for image annotation & labelling task. I have used it for image segmentation. ### 21. 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.) **Reviewed Date:** October 09, 2024 **What do you like best about CVAT.ai?** High quality annotation and excellent support. **What do you dislike about CVAT.ai?** I don't have any. It's a very good platform. **What problems is CVAT.ai solving and how is that benefiting you?** Accurate labeling of images at scale. ### 22. Easy to use annotation tool. **Rating:** 4.5/5.0 stars **Reviewed by:** Sumit S. | AI Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 06, 2024 **What do you like best about CVAT.ai?** Supports multiple type of annotation, Easy to annotate in team, Task management feature, integration with popular ML frameworks are good features. **What do you dislike about CVAT.ai?** Complicated interface for beginners without training. **What problems is CVAT.ai solving and how is that benefiting you?** AI assisted labelling provides good speed to annotaters once they get familier. Auto detection of surfaces/planes was the best for annotation of specific type of data. ### 23. CVAT.ai is free, online, interactive video and image annotation tool for computer vision data. **Rating:** 5.0/5.0 stars **Reviewed by:** sravani s. | Data Annotator, Mid-Market (51-1000 emp.) **Reviewed Date:** November 02, 2023 **What do you like best about CVAT.ai?** CVAT.ai ian Open-Source professionally developed code under the license of MIT.And this CVAT.ai is web-based so that user's no need to download anything just open the web page.As we work in the high-tech industry,it's fittng to learn more about the tools that can help us achieve our goals.CVAT.ai is the data annotation software that we at label the and can be used for a variety of annotation scenarios.The CVAT.ai annotation tool is one of the best examples of simple,adaptable,easily adjustable software options that are indispensable in data annotation work.And also CVAT.ai supports more upload formats than most of its competitors. **What do you dislike about CVAT.ai?** CVAT.ai performance problems.If the CVAT.ai server fails,an annotator can keep working on the task without the possibility to save it,which can lead a losing a lot of time on the job that cannot be saved. **What problems is CVAT.ai solving and how is that benefiting you?** I have been a user of CVAT for 3 years and have no complaints.After trying out several other software options CVAT.ai is definitely worth the time.Cvat.ai annotation tool is a nice all-around solution for computer vision tasks.Its open source code allows starting the annotation work without any additional spending.I t would definitely be simpler and probably less expensive to buy a license of one of the many prepaid solutions. ### 24. CVAT.ai review **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 01, 2024 **What do you like best about CVAT.ai?** It is very easy to use. We can do all type of annotaton. **What do you dislike about CVAT.ai?** Sometimes it's difficult creatin new tasks and also perfformance speed also get slow. **What problems is CVAT.ai solving and how is that benefiting you?** CVAT supports computer vision tasks like object detection, classification. ### 25. Truly committed and enthusiastic team **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** September 25, 2024 **What do you like best about CVAT.ai?** We we're able to have a tailor-made annotation project, and feedback was well implementated. Over-all very good experience. **What do you dislike about CVAT.ai?** We experienced no downsides doing this project **What problems is CVAT.ai solving and how is that benefiting you?** Creating a supervised set for Machine Learning applications. - [View CVAT.ai pricing details and edition comparison](https://www.g2.com/products/cvat-ai/reviews?qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-06-04+05%3A59%3A59+-0500&secure%5Bsession_id%5D=0b39c2a2-1c08-4b29-988c-ceaecc7b4ba7&secure%5Btoken%5D=e71bb5b03e79d91931ecc5dee60b954ca0a61a47299481d3d53902f59bad4bc3&format=llm_user) ## CVAT.ai Features **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.ai Alternatives - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) - 4.9/5.0 (263 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 (146 reviews)