GeorgeSeif/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
ArchivedProvides modular implementations of 15+ semantic segmentation architectures (SegNet, U-Net, DeepLabV3+, PSPNet, RefineNet, etc.) with pluggable feature extractors (ResNet, MobileNetV2, InceptionV4) built on TensorFlow's Keras API. Includes comprehensive evaluation metrics (IoU, F1, per-class accuracy), data augmentation, and dataset-agnostic training/testing pipelines for rapid experimentation across custom or standard benchmarks like CamVid.
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Apr 22, 2021
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