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I have a medical dataset labeled with polygonal masks (rather than rectangle boxes). It works well for pixel annotation with UNet to generate masks of healthy vs damaged skin. Now I need to do instance counting. Most of the CNNs like YOLOv4 consumes bounding boxes, not polygons.

Which CNN should I use for instance counting given that my dataset consists of labeled polygons?

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Which CNN should I use for instance counting given that my dataset consists of labeled polygons?

CNNs for instance segmentation. To start with you can try Mask-RCNN. Here are all state of the art CNNs for instance segmentation. You will also find code for most of them.

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