facebookresearch/VMZ

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1052 stars · 158 forks observed · 2026-08-28

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

VMZ is a model zoo from Facebook AI's Computer Vision team providing Caffe2 and PyTorch implementations of video classification models such as R(2+1)D, MCx, CSN, and IG-65M pre-trained models. The repository has been archived and is no longer supported.

Use cases

• reproduce video action recognition research results
• use pretrained video models for video classification
• fine-tune R(2+1)D or CSN models on my own video dataset
• leverage IG-65M pretrained weights for video understanding
• train audio-visual models with gradient blending

When to choose

• you need strong pretrained video action recognition models like R(2+1)D or CSN
• you want to reproduce Facebook AI's video modeling research results
• you can work with Caffe2 or older PyTorch codebases

When to avoid

• you need actively maintained code or support
• you want modern video models or recent PyTorch compatibility
• you need a reliable PyTorch CSN implementation (noted as buggy)

Facets

library · maturity abandoned

machine-learning deep-learning computer-vision video-processing computer-vision machine-learning deep-learning python video-modeling action-recognition model-zoo pretrained-models caffe2 pytorch archived video linux gpu

Member repositories

For agents

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