The Multispectral Semantic Segmentation example has not fully explained how to train UNet with RGB image for one class for example Skin Cancer or leaves
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Is there any way to train and test the UNet on RGB images.' If yes, how to create the dataset that will work to this model. I have the images with their masks. I was able to generate the image data set which merely uses 'imageDatastore' but how to turn the mask images to labels? Any help would be greatly appreciated!
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