C3D is a modified version of BVLC
caffe  to support 3-Dimensional Convolutional Networks. C3D can be
used to train, test, or fine-tune 3D ConvNets efficiently. We also provide
our C3D pre-trained model which were trained on Sports-1M dataset  with
necessary tools for extract video features.
Sport classification using C3D on Sports-1M dataset. Video frames are
visualized with top 2 predictions.
03/01/2017: New code and model is released (check out at git hub). Paper/techincal report will be availble soon.
Source code: github
(we branched out from BVLC caffe on July 17, 2014 with gist_id b80fc86.
Following normal caffe installation should work).
Pre-trained model: sport1m (alternative url1 or url2). For full reference of the model, please refer to . For a quick
reference, please refer to the table below where we report accuracy of
this model C3D with fc6 feature and linear SVM.