VainF/DeepLabV3Plus-Pytorch

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2699 stars · 521 forks observed · 2026-08-28

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

A PyTorch library providing pretrained DeepLabv3 and DeepLabv3+ semantic segmentation models for Pascal VOC and Cityscapes datasets. It includes multiple backbone architectures (ResNet, MobileNet, HRNet, Xception), training scripts, and prediction tools.

Use cases

• run semantic segmentation on images with pretrained deeplabv3+
• segment cityscapes street scenes
• train deeplabv3+ on my own dataset
• compare segmentation backbones like resnet, mobilenet, hrnet, xception
• predict segmentation masks for a folder of images
• fine-tune a pretrained segmentation model in pytorch

When to choose

• you need ready-to-use pretrained DeepLabv3/v3+ models in PyTorch
• you want to train or fine-tune semantic segmentation on custom datasets
• you need Pascal VOC or Cityscapes segmentation baselines

When to avoid

• you need real-time or instance/panoptic segmentation
• you work outside PyTorch (e.g., TensorFlow)
• you need actively maintained code with recent updates

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision machine-learning computer-vision image-processing python cross-platform semantic-segmentation deeplabv3plus pytorch pretrained-models pascal-voc cityscapes

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markdown · JSON · MCP: product_card(name="VainF/DeepLabV3Plus-Pytorch")