zijundeng/pytorch-semantic-segmentation

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1735 stars · 390 forks observed · 2026-08-28

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

A PyTorch library providing implementations of popular semantic segmentation models such as FCN, U-Net, SegNet, PSPNet, GCN, and DUC/HDC. It includes training and testing pipelines for these models.

Use cases

• train semantic segmentation models in pytorch
• implement FCN, U-Net, or SegNet architectures
• benchmark segmentation models on custom datasets
• learn how semantic segmentation networks are built
• fine-tune pretrained segmentation models

When to choose

• you need reference implementations of classic segmentation architectures in PyTorch
• you want a simple training/testing pipeline for segmentation research
• you are studying fully convolutional networks and encoder-decoder models

When to avoid

• you need state-of-the-art or actively maintained segmentation tooling
• you require modern PyTorch version compatibility
• you need production-ready segmentation deployment

Facets

library · maturity maintenance

deep-learning machine-learning image-processing computer-vision deep-learning machine-learning python semantic-segmentation pytorch fcn unet segnet pspnet computer-vision gpu

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markdown · JSON · MCP: product_card(name="zijundeng/pytorch-semantic-segmentation")