In this video, we are going to use the famous UNet architecture for segmenting person from an image. For the person segmentation, we are going to use the person segmentation dataset.

The U-Net is built for Biomedical Image Segmentation. It is the base model for any segmentation task. It follows an encoder-decoder approach. It used skip connection to get the local information during downsampling path and use it during the upsampling path.

CODE: https://github.com/nikhilroxtomar/Unet-for-Person-Segmentation

U-Net: https://arxiv.org/abs/1505.04597
ResU-Net: https://arxiv.org/pdf/1711.10684
DoubleU-Net: https://arxiv.org/abs/2006.04868

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#unet #tensorflow #keras #python #deep-learning