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Segments.ai

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21 reviews
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  • 3 categories
Average star rating
4.6
Serving customers since
2020
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Segments.ai

21 reviews

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 - 3D 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

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Segments.ai Reviews

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Claudio S.
CS
Claudio S.
11/24/2025
Validated Reviewer
Verified Current User
Review source: Organic

Effortless Dataset Management with Intuitive Collaboration

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.
Gianmarco S.
GS
Gianmarco S.
11/24/2025
Validated Reviewer
Verified Current User
Review source: Organic

Exceptional for Multi-Sensor Data Labeling in Robotics

The best feature of Segments.ai is its specialization and efficiency in multi-sensor data labeling, which is critical for autonomous systems and robotics.
RR
Rajesh R.
04/18/2025
Validated Reviewer
Verified Current User
Review source: Organic

One of the best tool for annotating semantics.

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.

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HQ Location:
Leuven, Vlaams-Brabant, Belgium

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@SegmentsAI

What is Segments.ai?

Segments.ai is a platform designed to streamline and enhance the process of creating high-quality training data for computer vision models. The platform aids teams in labeling, reviewing, and managing datasets more efficiently. Segments.ai offers features specifically tailored for tasks like semantic segmentation, instance segmentation, and other annotation types which require precise and detailed input. It's particularly beneficial for AI developers and data scientists who require robust datasets to train models for various applications, such as autonomous driving, medical imaging, or any scenario where accurate visual recognition is crucial. The platform integrates into existing workflows, providing tools to automate and collaborate on the data annotation process, aiming to reduce time and effort while increasing the accuracy of the outcomes.

Details

Year Founded
2020