Segments.ai vs Supervisely
Segments.ai
segments.aiSupervisely
supervisely.comSide by side
| Figure | Segments.ai | Supervisely |
|---|---|---|
| Price from | Free | €199/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 3 |
| Spec score · AI Image Annotation Tools | 8.1 (#9) | 7.9 (#11) |
| Spec score · Image Annotation Software | 8.1 (#11) | 7.9 (#14) |
| Spec score · Data Labeling Software | 8.0 (#13) | 7.8 (#15) |
| Company history | Segments.ai says it launched in 2020 as a data labeling solution designed for segmentation. | Supervisely says it shifted its primary focus from services to product in 2017 and released Supervisely in August 2017. |
| Founded | 2020 | 2017 |
| Integrations | The Python SDK supports programmatic data upload, label downloads, dataset management, and webhooks; the integrations page names TensorFlow and PyTorch. | Supervisely offers a JSON API, Python SDK and AppEngine for automating workflows and building integrations. |
| Intended users | The company describes the product as designed for computer vision engineers and data scientists working in autonomous robotics and driving. | The Community plan is described for open-source projects, individuals, ML researchers and small teams. |
| Product | Segments.ai is a multi-sensor data labeling platform for robotics and autonomous vehicle teams. | Supervisely is a computer vision platform for curating data, labeling images, videos, 3D and medical imagery, and building production models. |
Plans
Segments.ai
- Academic licenseFree
- CorePrice not published
- EnterprisePrice not published
- FusionPrice not published
In their own words
Segments.ai
Segments.ai is a data labeling platform for robotics and autonomous vehicle work, with tools for both images and 3D point clouds. Teams can mark data with segmentation, cuboids, bounding boxes, keypoints, polygons, and polylines, view images alongside point clouds, and project labels between sensors. For sequences, Batch Mode, merged point clouds, interpolation, and automated tracking support labeling across objects and frames. Image workflows include Superpixel, Autosegment, hover-and-click segmentation, and model predictions that teams can review and correct. Its Python SDK handles uploads, label downloads, dataset management, and webhooks; TensorFlow and PyTorch are named integrations. The product is available through web and API access, and datasets can be exported as JSON, PyTorch, TensorFlow, or Hugging Face formats. Core includes cloud bucket integrations. The company states it is EU based, ISO 27001 certified, and GDPR compliant. Pricing is on request, with a 14-day trial; a free academic license is available for non-commercial research at free.
Supervisely
Supervisely is a computer vision platform for curating data, labeling images, video, 3D and medical imagery, and building production models. Its labeling workflows cover images, video, LiDAR and DICOM, with AI-assisted labeling and tracking. Teams can train, evaluate and deploy models, including through active-learning workflows. Data tools include search, visualization and quality statistics, plus connections to AWS, Google Cloud and Azure storage. A JSON API, Python SDK and AppEngine support integrations and workflow automation. Community is free with 5 GB of storage, 10,000 files and two members; projects in free teams are archived after 30 days of inactivity. Pro is listed at €199/mo, with 50 GB and 50,000 files; add-ons are available. Enterprise has custom pricing and can be self-hosted or cloud deployed, including on private networks without outside internet access. Supervisely says uploaded or generated customer data is private and not shared or used by the service. It was released in August 2017 and is headquartered in Tallinn, Estonia.