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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A Keras implementation of the DeepLab v3+ model with pretrained weights for semantic segmentation tasks.
A PyTorch implementation of the DeepLab v3+ semantic segmentation model, allowing developers to train their own models.
DeepLab-ResNet reimplementation in TensorFlow for semantic image segmentation.
PyTorch re-implementation of DeepLab v2 for semantic segmentation on COCO-Stuff and PASCAL VOC datasets.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
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