I have 1000 cat images with background. I want to try UNet to remove background from those images. Any recommendations are welcome.
Should I create annotations or other files like Json files? I have not found a proper way to do it.
1 Answers
One of a great way to implement background removal is end2end methods by using cGAN or pix2pix image to image translation (you can use U-Net in your gan architecture)
I strongly recommend you to read this article: https://github.com/eti-p-doray/unet-gan-matting/blob/master/exploringImageMattingReport.pdf
and also you can use pix2pix method :
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