I'm trying to implement a solution in python to detect skin in an image.
I'm evaluating the Mask R-CNN model to create a mask on the skin (not on clothes). The problem is that every solution I have encountered using Mask R-CNN uses it to classify objects. I'm afraid that using it trying to classify texture might be a problem. Is it the case?
My dataset is actually pretty good, composed of the
- original image,
- precise mask on the skin, and
- grounding box.
Can I use a Mask R-CNN to detect a skin texture?