best Mask2Former weights using the Jersey Royal Dataset

best MRCNN model weights using the Jersey Royal Dataset

Both Models are implemented in detectron2. Models should load into Mask R-CNN and Mask2Former implementations in detectron2

Test Results: Mask2Fromer: mAP 0.591, mAP50 0.832, mAP@75 0.617 MaskR-CNN: mAP 0.803, mAP50 0.917, mAP@75 0.845

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