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YouTube-8M: A Large-Scale Video Classification Benchmark
YouTube-8M is a large-scale video classification benchmark. -
Long Video Understanding Benchmark
Towards long-form video understanding. We propose a two-stream spatio-temporal attention network for long video classification which combines the advantages of convolutional... -
Condensed Movies
The dataset used for text-to-video retrieval and video classification tasks. -
Kinetics dataset
The Kinetics dataset is a large-scale action recognition dataset. It contains videos of various actions performed by humans, with annotations of the actions performed. -
Kinetics-600
The Kinetics-600 dataset consists of 392k training videos and 30k validation videos in 600 human action categories. -
ActivityNet Captions
The ActivityNet Captions is a benchmark dataset proposed for dense video captioning. There are 20K untrimmed videos in total, and each video has several annotated segments with... -
Youtube-8M
Youtube-8M is a large-scale video classification benchmark.