Dataloop vs Kili Technology
| Dataloop | Kili Technology | |
|---|---|---|
| Free plan | No | No |
| Free trial | No | No |
| Paid from | — | — |
| Open source | No | No |
| Platforms | Web | Web |
| Annotation types | bounding boxes, polygons, key points, cuboids, polylines, semantic segmentation, classification, tagging, hierarchical annotation | bounding boxes, polygons, semantic segmentation, pose estimation, named entity recognition, classification |
| Image formats | JPG, JPEG, PNG, TIFF | PNG, JPEG/JPG, GIF, BMP, WebP, ICO, JP2, NTF, TIFF/TIF, GeoTIFF |
| Model-assisted labeling | Yes | Yes |
| Dataset export | Dataloop JSON, COCO, YOLO, VOC | Kili, YOLO v4, YOLO v5, YOLO v7, YOLO v8, Pascal VOC, COCO, GeoJSON |
| Team collaboration | Yes | Yes |
| API access | Yes | Yes |
| Free plan | — | No |
Both are listed in Best Image Annotation Software, Best AI Image Annotation Tools, Best Data Labeling Software, Best AI Data Labeling Tools. On Inferse, Kili Technology scores higher on our published basis.