8 datasets found

Groups: Action Recognition

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  • BABEL: Bodies, Action and Behavior with English Labels

    A large-scale human motion capture dataset with unique action categories.

  • H36M-4A

    The H36M-4A dataset is derived from the H36M-Original dataset, using the 4A pipeline to generate synthetic data.

  • H36M-Original

    The H36M-Original dataset consists of 6 action classes, with 16 frames per class.

  • NTU-4A

    The NTU-4A dataset is derived from the NTU-Original dataset, using the 4A pipeline to generate synthetic data.

  • NTU-Original

    The NTU-Original dataset consists of 49 single-person action classes from the real world.

  • 4A

    The 4A pipeline generates realistic animations in varied game environments, viewed from multiple viewpoints.

  • UCF101

    The UCF101 dataset contains 13320 videos distributed in 101 action categories. This dataset is different from the above ones in that it contains mostly coarse sports activities...

  • HMDB51

    Video classification is a fundamental problem in many video-based tasks. Applications such as autonomous driving technology, controlling drones and robots are driving the demand...