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This aims to implement the Unet architecture for image semantic segmentation

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saurabhkemekar/Semantic-Segmentation

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Semantic-Segmentation

Image The Unet architecture consists of contracting and expansion paths. The contracting part consists of a repeated block of 3x3 convolution and max-pooling layer. Whereas the expansion part consists of 2x2 upsampling block. Also, the features from the contracting part are concatenating with upsampling results to get high-resolution features.

Requirements

  • Python 3.8
  • Numpy 1.19.2
  • Matplotlib 3.3.2
  • Tensorflow 2.4.1

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This aims to implement the Unet architecture for image semantic segmentation

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