facebookresearch/ClassyVision

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

1607 stars · 272 forks observed · 2026-08-28

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

Classy Vision is an end-to-end PyTorch framework for image and video classification, offering a modular API for computer vision research with scalable distributed training. It includes implementations of models like ResNe(X)t, EfficientNet, and Vision Transformers, but is no longer actively maintained (final stable version 0.7.0).

Use cases

• train image classification models in pytorch
• run distributed video classification training jobs
• research computer vision model architectures like vision transformers
• fine-tune pretrained resnet or efficientnet models
• set up reproducible classification training with config files

When to choose

• you need a modular PyTorch-based framework for image or video classification research
• you want built-in distributed training with minimal infrastructure setup
• you need reference implementations of ResNeXt, EfficientNet, RegNetZ, or Vision Transformers

When to avoid

• you need actively maintained software with ongoing bug fixes and new PyTorch version support
• you want a general-purpose computer vision toolkit beyond classification (e.g., detection, segmentation)
• you prefer a simpler high-level API like torchvision or timm for standard training workflows

Facets

framework · maturity abandoned

machine-learning deep-learning image-processing video-processing computer-vision deep-learning machine-learning python windows pytorch image-classification video-classification computer-vision-research distributed-training vision-transformers no-longer-maintained linux macos

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markdown · JSON · MCP: product_card(name="facebookresearch/ClassyVision")