FiftyOne vs Segments.ai
FiftyOne
voxel51.comSegments.ai
segments.aiSide by side
| Figure | FiftyOne | Segments.ai |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 4 |
| Spec score · Image Annotation Software | 7.5 (#19) | 8.1 (#11) |
| Founded | 2018 | 2020 |
| Integrations | The official integrations documentation lists annotation integrations including CVAT, Label Studio, V7, and Labelbox, and vector search integrations including Qdrant, Redis, and Pinecone. | The Python SDK supports programmatic data upload, label downloads, dataset management, and webhooks; the integrations page names TensorFlow and PyTorch. |
| Intended users | Voxel51 describes FiftyOne as a platform for AI builders and machine-learning teams working with multimodal data at scale. | The company describes the product as designed for computer vision engineers and data scientists working in autonomous robotics and driving. |
| Support | The Team plan lists standard enterprise support, Growth lists premium enterprise support, and Custom lists a dedicated customer success team. | 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.