10 datasets found

Formats: JSON Tags: Action

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  • AVA v2.1

    This dataset is used for action localization tasks.

  • KTH action dataset

    The KTH action dataset consists of humans performing 6 types of actions: boxing, clapping, waving, jogging, running, and walking under 4 scenarios: outdoors, outdoors with scale...

  • Stanford40 and HII datasets

    The Stanford40 and HII datasets are used for image recognition. The Stanford40 dataset contains 40 action categories, while the HII dataset contains 10 action images.

  • UCF101 and HMDB51 datasets

    The UCF101 and HMDB51 datasets are used for video recognition. The UCF101 dataset contains 101 action categories, while the HMDB51 dataset contains 51 classes.

  • Kinetics400

    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...

  • HMDB-51 and UCF-101

    A dataset of real videos for action categorization, including HMDB-51 and UCF-101.

  • Kinetics-400

    Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming....

  • 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...

  • Kinetics

    The Kinetics dataset is a large-scale human action dataset, which consists of 400 action classes where each category has more than 400 videos.
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