--- title: Segments.ai Reviews meta_title: 'Segments.ai Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 22 reviews by the users' company size, role or industry to find out how Segments.ai works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 22 scale: '5' date_modified: '2026-06-24' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Segments.ai Reviews **Vendor:** Segments.ai **Category:** [Data Labeling Software](https://www.g2.com/categories/data-labeling) **Average Rating:** 4.6/5.0 **Total Reviews:** 22 ## About Segments.ai Multi-sensor labeling platform for robotics and autonomous driving. Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Image Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation - ML-powered labeling tools: DeepPixels and Autosegment Image Vector Labeling - Bounding boxes - Polygons - Polylines - Keypoints Point Cloud Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation Point Cloud Vector Labeling - Cuboids / 3D bounding boxes - Keypoints - Polygons and polylines Video labeling - Label sequences of data fast with interpolation and ML assistance. - Label merged 3D point clouds of unlimited size. - Label 3D sequences faster with batch mode and merged point cloud view. Sensor fusion: visualize and label multiple modalities in the same interface Build your clever annotation workflow exactly how you want, with the flexibility you need to get the job done quickly and efficiently. Segments.ai is a self-serve platform with dedicated support from our core team of engineers when you need it. - A Python SDK that finally makes sense - Documentation to make the setup feel like a breeze - Self-serve with support only when you are stuck, so we don't slow you down - Automatically trigger actions using webhooks - Connect your cloud provider (AWS, Google Cloud, Azure) - Export to popular ML frameworks (PyTorch, TensorFlow, Hugging Face 🤗) Onboard your workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together. Get started with a free trial today at https://segments.ai/join ## Segments.ai Pros & Cons **What users like:** - Users value the **ease of dataset organization and efficient multi-sensor data labeling** offered by Segments.ai. (3 reviews) - Users commend the **specialization and efficiency** of Segments.ai in multi-sensor data labeling for autonomous systems. (2 reviews) - Users appreciate the **efficiency** of Segments.ai for organizing and labeling datasets quickly and seamlessly. (2 reviews) - Users find **Segmentation.ai's time-saving capabilities** invaluable, as it streamlines dataset organization and annotation processes effectively. (2 reviews) - Users commend the **annotation efficiency** of Segments.ai, finding it faster and easier than alternative tools. (1 reviews) - Collaboration (1 reviews) - Communication (1 reviews) - Cost Efficiency (1 reviews) - Users appreciate the **fast and responsive customer support** from Segments.ai, enhancing their annotation experience significantly. (1 reviews) - Data Handling (1 reviews) **What users dislike:** - Users experience a **difficult learning curve** when annotating complex, multi-sensor data in Segments.ai's interface. (2 reviews) - Users experience a **steep learning curve** when mastering the interface for annotating complex multi-sensor data. (2 reviews) - Users note that **annotation issues** arise from advanced features needing extra configuration and limited automation options. (1 reviews) - Users note the **lack of features** that limits advanced functionalities and automation options for faster annotation. (1 reviews) - Users feel the **lack of tools** limits the potential of advanced features and automation for efficient annotation. (1 reviews) - Limited Customization (1 reviews) - Missing Features (1 reviews) ## Segments.ai Reviews ### 1. Effortless Dataset Management with Intuitive Collaboration **Rating:** 4.5/5.0 stars **Reviewed by:** Claudio S. | PhD Researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** November 24, 2025 **What do you like best about Segments.ai?** As someone who has used this service, the ease of creating and controlling an organized annotated dataset was the most valuable characteristic. The user interface is extremely easy to navigate and made organizing labeling work significantly less time-consuming, which is important. This service has very useful collaborative features for communicating with other team members and for annotators to look at the annotations they had made. There is also easy integration with other systems and services that improved the workflow. **What do you dislike about Segments.ai?** At times, the more advanced features could benefit from a bit of extra configuration to utilize to their fullest value. Additionally, it would be beneficial to have more options outlined for built-in automations to speed up the annotation process. Nothing serious, particularly considering the quality of service provided. **What problems is Segments.ai solving and how is that benefiting you?** The use service helps to keep large scale data labeling activity organized while still producing a high quality of annotations. Overall, the service greatly improved the modal development process, and decreased the necessary time it takes produce comparable resulting datasets for our end user. ### 2. Fast, All-in-One Platform for Labeling and Reviewing Data **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** May 02, 2026 **What do you like best about Segments.ai?** I love how it is an all in one platform and I can do everything from labelling to reviewing my data all in one place. It's fast and great for academic use as well. **What do you dislike about Segments.ai?** Some of the interface feels slightly outdated and it is missing some of the newer features that platforms like Roboflow have. **What problems is Segments.ai solving and how is that benefiting you?** Segments.ai is helping me build custom models by labelling data. It would NOT be possible without Segments.ai, and is free for academic use. ### 3. Exceptional for Multi-Sensor Data Labeling in Robotics **Rating:** 5.0/5.0 stars **Reviewed by:** Gianmarco S. | Ph.D. Student, Small-Business (50 or fewer emp.) **Reviewed Date:** November 24, 2025 **What do you like best about Segments.ai?** The best feature of Segments.ai is its specialization and efficiency in multi-sensor data labeling, which is critical for autonomous systems and robotics. **What do you dislike about Segments.ai?** Some users have noted that annotating complex, multi-sensor data (like 3D point clouds combined with 2D images) requires a bit of a learning curve to master the interface and tools. **What problems is Segments.ai solving and how is that benefiting you?** It is solving the problem of labeling data in team. ### 4. One of the best tool for annotating semantics. **Rating:** 5.0/5.0 stars **Reviewed by:** Rajesh R. | Doctoral researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** April 18, 2025 **What do you like best about Segments.ai?** The tool has many features for segmentation annotation. It makes the process seamlessly easy compared to SAM based model annotations. Even with low resolution images it works amazing. Out all the tools I have tried this was faster. On top they have Academic license. I got the license within few minutes and started annotation the data. The response from their team is faster than I expected. **What do you dislike about Segments.ai?** I find the multi sensor annotation required a bit of learning curve. Just like in semantics if they have some semi-automatic it would be top annotation platform. **What problems is Segments.ai solving and how is that benefiting you?** They are solving smart annotations problems for semantics and multi-sensor systems. This tool is incredible as they have some unique features for semantic annotation that I have not seen in any other tool. They have clear documentations too. ### 5. recommended annotation tool **Rating:** 5.0/5.0 stars **Reviewed by:** Zehra N. | Research Assistant, Small-Business (50 or fewer emp.) **Reviewed Date:** July 23, 2024 **What do you like best about Segments.ai?** I am a master's student, and I couldn't find a good tool for 3D point cloud annotation until I found Segments.ai. They generously provided me with a free academic license. This tool was exactly what I needed. It is easy to use, accepts general formats like PCD (not just BIN formats), and they send helpful emails and Google Colab notebooks. **What do you dislike about Segments.ai?** There isn't much to dislike about Segments.ai. I wish they made more videos on YouTube as they are very helpful. **What problems is Segments.ai solving and how is that benefiting you?** Segments.ai solves the problem of 3D point cloud annotation, which is essential for my research and projects. ### 6. This is the best segmentation tool that I have worked with so far **Rating:** 5.0/5.0 stars **Reviewed by:** Viktor T. | Machine Learning Engineer, Apparel & Fashion, Small-Business (50 or fewer emp.) **Reviewed Date:** July 11, 2023 **What do you like best about Segments.ai?** The best thing about segments.ai is how fast one can label images. With other tools that I have used it could take up to 5 minutes to label one image. But with segments.ai it can take as little as 10-20 seconds to label one image with several classes. The reason for why it is so easy to label images with segments.ai is that this product comes with several different features such as edit with superpixels, brush, polygon etc and it also comes with autosegmentation (which as of now is in beta mode). Moreover, as a manager it is also very easy to se statistics for each labeler and this product also has a very nice review function so that you easily can correct mistakes. However, mistake seldomly happens, since this tool make it so easy to label iamges. Furthermore, once you are done with a labeling project there is an amazing python SDK that makes it very easy to download both images and segmentation bitmaps. I would also like to add that when I encounter a problems with segments.ai (which rarely happens), their team are very quick to respond and they are extremely helpful. **What do you dislike about Segments.ai?** So far I have not encountered anything that I dislike about segments.ai **What problems is Segments.ai solving and how is that benefiting you?** As I mentioned before data labeling is a time consuming process, and with other tools that I have used before it couuld take me up to 5 minutes to label one image. However, with segments.ai it can take as little as 10-20 seconds to label one image with several classes. I would also like to add that once you are done with a labeling project there is an amazing python SDK that makes it very easy to download both images and segmentatiojn bitmaps. ### 7. Quite fast and intuitive annotation tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Civil Engineering | Small-Business (50 or fewer emp.) **Reviewed Date:** April 23, 2024 **What do you like best about Segments.ai?** An easy interface and export function. Free academic access. **What do you dislike about Segments.ai?** It would be nice to have options to export annotations straight from the web version, without using Pythin SDA. **What problems is Segments.ai solving and how is that benefiting you?** Fastness of data annotation, accelerating my testing cycle for my research work. ### 8. Extremely useful tool for 2D and 3D labeling! **Rating:** 4.0/5.0 stars **Reviewed by:** Matteo S. | Ph.D. Student and Research Assistant, Small-Business (50 or fewer emp.) **Reviewed Date:** June 09, 2023 **What do you like best about Segments.ai?** I love all its features and how easy it is for both 2D and 3D labelling. The dataset creation and export is simple and intuitive. Labelling, especially in 2D, relies on many tools (superpixels, brushes, etc) that make the experience easy and straightforward to explain to an inexperienced person. **What do you dislike about Segments.ai?** The 3D visualization gets stuck at times because it's very computationally heavy. It would be cool to introduce a feature for "hierarchical labeling", meaning to have multiple instance ids for the same pixel/point. This is useful, for example, in the agricultural domain where both plant instance and leaf instance segmentation are useful, thus each pixel has to be associated to a specific plant and to a specific leaf. **What problems is Segments.ai solving and how is that benefiting you?** I mostly use Segments.ai to label my own datasets for segmentation tasks, and to supervise people labelling for me and reviewing their labels. It's tremendously useful, especially when scenes are not too cluttered (in which case the superpixel segmentation gets a bit messy, and probably a polygon strategy would be better-suited). ### 9. It is transforming Data Annotation **Rating:** 3.0/5.0 stars **Reviewed by:** Shajir K. | Director, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** August 23, 2023 **What do you like best about Segments.ai?** Versatile Annotation Options: The diverse range of annotation types, from bounding boxes to keypoints, empowers me to accurately label various types of data, ensuring comprehensive annotation for my projects. AI-Assisted Labeling: The AI-powered pre-labeling feature is a true time-saver. It not only speeds up the annotation process but also enhances accuracy by intelligently predicting labels, elevating the quality of my annotated datasets. **What do you dislike about Segments.ai?** Complexity for New Users: Data annotation tools can sometimes have a learning curve, especially for users who are new to the concept of data labeling or have limited technical expertise. Navigating the platform, understanding annotation types, and using advanced features might be challenging initially. Quality Control: Ensuring the accuracy and consistency of annotations can be a challenge, especially when dealing with complex or large datasets. Users might face difficulties in maintaining high-quality annotations across different annotators or addressing discrepancies in labeling. **What problems is Segments.ai solving and how is that benefiting you?** Time-Intensive Data Annotation: Manually labeling and annotating datasets can be time-consuming and resource-intensive. Annotation Consistency and Accuracy: Maintaining consistent and accurate annotations across different annotators can be challenging and lead to discrepancies in labeled data. ### 10. Very convenient. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2024 **What do you like best about Segments.ai?** It is easy to work together on projects. The UI is easy to understand and the API is fast. **What do you dislike about Segments.ai?** Could be faster on large point cloud sequence **What problems is Segments.ai solving and how is that benefiting you?** Labeling point clouds ### 11. Segments.ai labeling system for objects. **Rating:** 5.0/5.0 stars **Reviewed by:** Deniz K. | Small-Business (50 or fewer emp.) **Reviewed Date:** September 06, 2023 **What do you like best about Segments.ai?** Segments.ai is very accurate, even for complex images. Also Segments.ai is very fast, even for large images. The software can process images quickly and efficiently. **What do you dislike about Segments.ai?** Segments.ai can have a steep learning curve, especially for users who are not familiar with image annotation software. The documentation for Segments.ai is a little lacking. For example, there is no documentation on how to use the software for machine learning tasks. **What problems is Segments.ai solving and how is that benefiting you?** Segments.ai can be used to identify objects in images. This can be used for tasks such as object tracking, scene understanding, and image classification. Segments.ai can be used to segment images into different parts ### 12. Get best from Segments.ai **Rating:** 5.0/5.0 stars **Reviewed by:** Firoz A. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 28, 2023 **What do you like best about Segments.ai?** With the help of Segments.ai you can easily label your images with appropriate class. As we know that labelling is a time consuming process and Segments.ai solves this problem very easily. It has an amazing python SDK which makes your life too easy by providing the facility of downloading the images and segmentation bitmaps. Their support team is very helpful and quick with response so that you can smoothly done your work. **What do you dislike about Segments.ai?** I think there is nothing what I dislike about Segments.ai. It us bery helpful the only thing they have to imprive is that please ad some more documentation data. **What problems is Segments.ai solving and how is that benefiting you?** Where the other software consumes too much time for labelling processes on the other hand Segments.ai does it very fast and accurately. It takes only 8-10 seconds to label any image and make your data segmented. ### 13. Helpful Software for Labeling Duties **Rating:** 4.0/5.0 stars **Reviewed by:** Gianmarco R. | PHD Student, Small-Business (50 or fewer emp.) **Reviewed Date:** June 14, 2023 **What do you like best about Segments.ai?** I like that the software provides different levels of coarseness for the segmentation, helping the user to catch small details or big objects at once without the need to restart it. It is also easy to correct the segments whenever small parts are wrongly assigned to them, using the coarseness level or just doing it by hand. **What do you dislike about Segments.ai?** I think there is still room for improvement when segmenting 3D inputs, especially large ones that sometimes make the software slow. But considering the difficulty of labeling such type of data, segments.ai is still very useful and a promising way to reduce the required effort. **What problems is Segments.ai solving and how is that benefiting you?** I mostly use Segments.ai to label datasets. It helps me having a first draft of the different objects in the image, with just one iteration of correction over the images I can already use it to train my networks. ### 14. The great tool Segment.ai **Rating:** 4.5/5.0 stars **Reviewed by:** Mohamed A. | Small-Business (50 or fewer emp.) **Reviewed Date:** October 06, 2023 **What do you like best about Segments.ai?** The ease of using the editor to label my dataset, as dataset creator, segment.ai was a super helpful to label my dataset for panoptic segmentation **What do you dislike about Segments.ai?** maybe when you have multiple objects, switching between labeling the objects is a bit hard **What problems is Segments.ai solving and how is that benefiting you?** Label the dataset for panoptic segmentation ### 15. Useful Labelling Platform With Rich Features **Rating:** 5.0/5.0 stars **Reviewed by:** Sarina H. | Robotics Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 09, 2023 **What do you like best about Segments.ai?** My team was on the lookout for a tool to help us verify our 3D data algorithms, and was excited to see that segments.ai had a feature to overlay 3D point clouds with 2D images. This proved very useful at giving labellers context for what they were looking at in 3D, especially in noisy shots. Another feature that was very useful for us was the ability to visualise intensity point cloud, which was missing from several other platforms that we researched. Being able to visualise the intensity data well was critical for interpreting our point cloud meaningfully. Segments.ai a range of nice visualisation options such as point size and colour pallets, for us to toggle as we liked. Finally, the 3D label features were very handy. The configuration option to generate bounding boxes at pre-set object sizes was useful for us as we were working with a single object of known size. The interpolation between frames for point cloud sequences was also great, auto-generating estimated bounding boxes for subsequent frames after the first manual label. These features saved us a lot of time. Excellent labelling platform, especially for 3D data. **What do you dislike about Segments.ai?** Some features had a handful of development holes, such as options missing from configs or just missing from documentation. Also a handful of bugs were noticed by my team, but the segments.ai team were extremely responsive at fixing these when they were reported. Overall the platform seemed at the level of development that things aren't always perfect, but problems resolved themselves quickly enough to not pose a major issue. **What problems is Segments.ai solving and how is that benefiting you?** For my team, it was solving the problem of providing a ground truth label for identifying objects in 3D sensor data, which is a very difficult thing to do for even a practised human labeller. While some of the difficulty still remains, the segments.ai platform aided a lot in making the task viable. ### 16. A great platform for developers working on machine learning based project. **Rating:** 4.0/5.0 stars **Reviewed by:** Prabin R. | Web Developer, Education Management, Small-Business (50 or fewer emp.) **Reviewed Date:** September 22, 2023 **What do you like best about Segments.ai?** The best thing that I like about it is the ability to label and process high quality images with a lot of different varieties, fast and with proper class. It makes the work much faster and easier for us. **What do you dislike about Segments.ai?** As of now I didn't face any issue in my work that could lead to disliking this amazing tool. **What problems is Segments.ai solving and how is that benefiting you?** Segments.ai is solving the issue of labelling different variety of images fast that usually takes up a lot of time doing it manually. ### 17. Very good product! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.) **Reviewed Date:** June 30, 2023 **What do you like best about Segments.ai?** The tool is very easy to use. It is easy to upload data sets, label large spaces with the superpixel tool, and then clean it up with the paint tool. Hotkeys to toggle overlays and switch between labels. Pretty intuitive features, and the developers are very open to questions **What do you dislike about Segments.ai?** The auto segment tool currently doesn't work that well (at least what I've been trying to use it for) however the feature is in beta and still being worked on. **What problems is Segments.ai solving and how is that benefiting you?** Data labeling is a time consuming process, and the tools available make it go by much faster. The superpixel tool is much more reliable than features I could find in similar tools which cuts down on a lot of time ### 18. It's much better than the program we used previously. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2023 **What do you like best about Segments.ai?** It's much easier to work with than the programs we used previously for labeling. Much more user friendly, much better design, and getting things done efficiently. **What do you dislike about Segments.ai?** For me, the only thing that I would improve is to move the segments.ai platform to a pc program. I think that the performances could get even better than they are now. **What problems is Segments.ai solving and how is that benefiting you?** Fix the mistakes on the collected data. We are doing a research on the development of plants and we need it to fix the focus of the pictures that are taken every few hours. ### 19. Fastest platform to automate labelling process for autonomous vehicles and robotics. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Automotive | Small-Business (50 or fewer emp.) **Reviewed Date:** August 29, 2023 **What do you like best about Segments.ai?** Since labelling should be the most fastest function of any manufacturing process, Segments.ai is working to be the best labelling platform for autonomous vehicles and robotics. **What do you dislike about Segments.ai?** The platform provided by the segments.ai can be difficult for people to understand for the first time but in the long run this can be very good option to optimise any work process. **What problems is Segments.ai solving and how is that benefiting you?** Segments.ai is providing one of the best and fastest platforms for labelling process for autonomous vehicles which is one of the most time consuming tasks. So by providing a platform which can fasten this process it is benefiting its consumers. ### 20. super tool for image segmentation it helps in Label **Rating:** 4.0/5.0 stars **Reviewed by:** Rahul S. | Small-Business (50 or fewer emp.) **Reviewed Date:** August 24, 2023 **What do you like best about Segments.ai?** It aided in my analysis by allowing me to divide an image into various regions or parts, frequently according to the traits of the image's pixels.simply amazing **What do you dislike about Segments.ai?** their is nothing to dislike about segments .ai **What problems is Segments.ai solving and how is that benefiting you?** It is offering me segmentation images for a range of input prompts, and this shows zero-shot transfer abilities across a wide range of tasks, datasets, and image tasks. ### 21. Great tool for image segmentation and excellent python integration **Rating:** 4.5/5.0 stars **Reviewed by:** Giacomo D. | PHD Student, Small-Business (50 or fewer emp.) **Reviewed Date:** February 23, 2023 **What do you like best about Segments.ai?** The tool is very good for what concerns the segmentation of images. The python integration via the SDK is great, makes it very much more easy to prepare data. **What do you dislike about Segments.ai?** The interface of the segmentation tool requires a bit of time to get used to. There's room to improve in the way the commands are showed to the user. **What problems is Segments.ai solving and how is that benefiting you?** I used their tool to label images for semantic segmentation. The best thing about their product is the integration with python: in my case, I run experiments on different machines that don't share storage, so using their SDK to import the data spares me the headache of moving data around. ### 22. Powerful and easy to use point cloud annotation **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** June 13, 2023 **What do you like best about Segments.ai?** It is easy to use, the GUI is responsive, I can do both semantic and instance segmentation and it is possible to hide annotated points - which makes things easier. **What do you dislike about Segments.ai?** Not much - it's a great tool and I'm glad it's out there. **What problems is Segments.ai solving and how is that benefiting you?** It's hard to annotate in 3D, and Segments.ai has features that make this easier, such as locking and hiding annotated points. - [View Segments.ai pricing details and edition comparison](https://www.g2.com/products/segments-ai/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-24+14%3A18%3A16+-0500&secure%5Bsession_id%5D=92d1df0a-7f5b-400d-bfe2-f269f9bc08f3&secure%5Btoken%5D=8eb6a48358f3a1889da26d60cb1a07762708c0d306ce51035cc04686a7b478de&format=llm_user) ## Segments.ai Features **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Quality** - Labeler Quality - Task Quality - Data Quality - Human-in-the-Loop **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Recognition Type** - Object Detection - Text Detection - Motion Analysis - Video Detection **Management** - Cataloging - Monitoring - Governing - Model Registry **Automation** - Machine Learning Pre-Labeling **Operations** - Metrics - Infrastructure management - Collaboration **Image Annotation** - Image Segmentation - Object Detection - Object Tracking - Data Types **Management** - Cataloging - Monitoring - Governing **Labeling** - Model Training - Bounding Boxes - Custom Image Detection **Natural Language Annotation** - Sentiment Detection **Deployment** - Integrations **Generative AI** - AI Text Generation - AI Text Summarization ## Top Segments.ai Alternatives - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) - 4.8/5.0 (352 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,284 reviews) - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (652 reviews)