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TTA-COCO-FasterRCNN-R50
WNJXYK/TTA-COCO-FasterRCNN-R50
TTA-COCO-FasterRCNN-R50 is a object detection model from WNJXYK. Use it when you need objects located in an image. The card lists the license as apache-2.0.
Faster R-CNN ResNet-50-FPN trained on COCO (91-class id space), re-hosted for the TTA-Evaluation-Harness as the two-stage detection source model (sibling of WNJXYK/TTA-COCO-DETR-R50).
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Updated Jun 22, 2026
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.safetensors167 MB · 100%
At a glance
- Task
- Object Detection
- License
- apache-2.0
- Access
- Public
- Created
- Jun 22, 2026
- Updated
- Jun 22, 2026
- SHA
- 9c0297a3
Model card
From the Hugging Face model README
TTA-COCO-FasterRCNN-R50
Faster R-CNN ResNet-50-FPN trained on COCO (91-class id space), re-hosted for the
TTA-Evaluation-Harness as the two-stage detection source model (sibling of
WNJXYK/TTA-COCO-DETR-R50).
model.safetensors is the torchvision fasterrcnn_resnet50_fpn COCO state_dict
(FasterRCNN_ResNet50_FPN_Weights.DEFAULT, Apache-2.0). The harness loads it into
a real-BatchNorm2d backbone (weights_backbone=None, strict=False) so BN-based
test-time adaptation has a genuine adaptation surface. Pinned by revision: v1.0.
- Task
- Object Detection
- License
- apache-2.0
- Created
- Jun 22, 2026
- Updated
- Jun 22, 2026