facebookarchive/C3D

Health v2 · maintenance only

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1181 stars · 498 forks observed · 2026-08-28

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

C3D is a modified fork of BVLC Caffe that adds support for 3D convolution and pooling layers, enabling training and fine-tuning of 3D ConvNets on video. It also provides pre-trained C3D models for extracting video features.

Use cases

• train 3D convnets for video classification
• extract video features with pre-trained C3D models
• fine-tune 3D CNNs for action recognition
• spatiotemporal feature learning from videos

When to choose

• you specifically need the original C3D architecture or its pre-trained models in a Caffe-based pipeline
• reproducing older research that depends on C3D

When to avoid

• starting a new video understanding project - use the maintained R2Plus1D caffe2 models instead
• you need active support, modern GPU compatibility, or PyTorch/TensorFlow integration
• commercial use - the license is Creative Commons Attribution-NonCommercial 3.0

Facets

library · maturity abandoned

machine-learning deep-learning video-processing image-processing machine-learning deep-learning computer-vision cpp python 3d-convnets caffe video-feature-extraction action-recognition archived video linux gpu

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