BasicAI vs Segments.ai
BasicAI
basic.aiSegments.ai
segments.aiSide by side
| Figure | BasicAI | Segments.ai |
|---|---|---|
| Price from | $550/mo | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · AI Image Annotation Tools | 8.0 (#10) | 8.1 (#9) |
| Spec score · Image Annotation Software | 8.0 (#12) | 8.1 (#11) |
| Spec score · Data Labeling Software | 8.0 (#11) | 8.0 (#13) |
| Integrations | The platform page says users can import and export data from AWS, Google Drive, and Dropbox. | The Python SDK supports programmatic data upload, label downloads, dataset management, and webhooks; the integrations page names TensorFlow and PyTorch. |
| Product | BasicAI provides a multimodal data annotation platform and managed data annotation services for AI training data. | Segments.ai is a multi-sensor data labeling platform for robotics and autonomous vehicle teams. |
| Support | The company provides technical support and offers a dedicated support plan with its private-cloud deployment. | Fusion includes priority support and mail, Slack, and Discord support. |
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.