Labelbox vs Supervisely
| Labelbox | Supervisely | |
|---|---|---|
| Free plan | No | No |
| Free trial | No | No |
| Paid from | — | — |
| Open source | No | No |
| Platforms | api, Web | Web |
| Free plan | Yes | Yes |
| Annotation types | bounding boxes, segmentation masks, image classification, radio classification | rectangle, line/polyline, polygon, multipolygon, point, bitmap mask, graph/keypoints, alpha mask, 2D cuboid |
| Image formats | JPEG | .jpg, .jpeg, .mpo, .bmp, .png, .webp, .tiff, .tif, .jfif, .avif, .heic, .heif |
| Model-assisted labeling | Yes | Yes |
| Dataset export | JSON, NDJSON, CSV, BigQuery, Databricks | Supervisely Format, COCO, Pascal VOC, YOLOv8, DOTA, Cityscapes, Amazon S3, Google Cloud Storage, Microsoft Azure, S3-compatible storage |
| Team collaboration | Yes | Yes |
| API access | Yes | Yes |
Both are listed in Best Image Annotation Software, Best AI Image Annotation Tools, Best Data Labeling Software, Best AI Data Labeling Tools. On Inferse, Labelbox scores higher on our published basis.