| library_name: transformers | |
| pipeline_tag: image-segmentation | |
| tags: | |
| - instance-segmentation | |
| - mask2former | |
| # BOOST | |
| Mask2Former (facebook/mask2former-swin-large-coco-instance) fine-tuned for instance segmentation of: booster, spat. | |
| Trained on full-resolution tiles of 1024 px at image scale 1. Use sliding-window inference over the whole image (see `deploy_config.json`); running the model on a downscaled full image will miss small objects. | |
| ## Test results (held-out split) | |
| | mask AP | AP50 | AP75 | precision | recall | F1 | | |
| |---|---|---|---|---|---| | |
| | 0.458 | 0.643 | 0.509 | 0.719 | 0.839 | 0.774 | | |
| Precision, recall and F1 at score >= 0.95, IoU >= 0.5. | |