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I'm trying to set up a library for my U-Net object classifier. I'm starting off super simple basically detecting two different 2-D shapes and then I'll build out from there. I wanted to have a training library made of manual annotations and another off automatically segmented masks for comparison when feeding into the model. I've made the masks easy enough but I'm now in the market for something to facillitate manual annotations?
There's unfortunately not much to read here yet...
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