luyanger1799/Amazing-Semantic-Segmentation
A TensorFlow/Keras library providing implementations of 10+ deep learning models for semantic image segmentation.
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This repository offers a comprehensive collection of semantic segmentation models including FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, and BiSegNet. The implementations run on TensorFlow 1.x/2.x and Keras, supporting both Python 3.x and OpenCV 3.x/4.x. Users can train and evaluate these models on custom datasets for pixel-level image classification tasks.