kazuto1011/deeplab-pytorch

Health v2 · maintenance only

Adoption not part of the score

1100 stars · 280 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An unofficial PyTorch re-implementation of DeepLab v2 with a ResNet-101 backbone for semantic segmentation, supporting COCO-Stuff and PASCAL VOC datasets. It includes pretrained weights compatible with the official Caffe releases, optional DeepLab v3/v3+ variants, and torch.hub support.

Use cases

• run semantic segmentation on images with deeplab in pytorch
• train deeplab v2 on pascal voc or coco-stuff
• download pretrained deeplab weights without building caffe
• reproduce deeplab v2 benchmark results like mean IoU
• use deeplab models via torch.hub
• get segmentation masks for coco-stuff 164k
• compare deeplab v2 v3 and v3+ with resnet-101 backbone

When to choose

• you need a faithful PyTorch port of DeepLab v2 with verified benchmark numbers
• you want official pretrained weights without installing Caffe
• you work with COCO-Stuff or PASCAL VOC segmentation datasets
• you need a quick torch.hub-loadable segmentation model

When to avoid

• you need the latest segmentation architectures like SegFormer or Mask2Former
• you want an actively developed project with frequent updates
• you need production-ready inference serving rather than research code
• you require the DeepLab v3/v3+ variants to be fully tested

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing deep-learning computer-vision image-processing machine-learning python cross-platform pytorch deeplab semantic-segmentation resnet coco-stuff pascal-voc torch-hub pretrained-weights

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