16 datasets found

Groups: Action Recognition Organizations: No Organization

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  • THUMOS Challenge: Action Recognition with a Large Number of Classes

    THUMOS Challenge: Action Recognition with a Large Number of Classes.

  • NTU-120 RGB+D

    The NTU-120 RGB+D dataset is the largest indoor dataset for 3D human activity analysis. It contains 114,480 action samples over 120 action classes, performed by 106 distinct...

  • UCF101: A Dataset of 101 Human Actions Classes from Videos in the Wild

    The authors used the UCF101, HMDB51, and Diving48 datasets to evaluate the performance of their proposed algorithm.

  • Something-Something V1

    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 Human Action Video Dataset

    The Kinetics dataset is a large-scale video dataset for human action recognition.

  • HMDB-51

    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....

  • 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....

  • AVA-Kinetics

    The AVA-Kinetics dataset is a video dataset of localized human actions.

  • 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...

  • MSR-Action3D

    The MSR-Action3D dataset has been first introduced with a depth-based approach, but its joint streams were widely used later as a reference for joint-based methods.

  • Kinetics-700

    Kinetics-700 is a large-scale video dataset for human action recognition, with 700 action categories.

  • Charades

    The dataset used for video action classification, consisting of 9.8k training videos, 1.8k validation videos, and 157 classes.

  • AVA

    The dataset used in this paper is a Flickr image dataset, which is used to evaluate the proposed deep aesthetic feature learning framework.

  • 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.

  • C3D

    The dataset used in this paper is a collection of videos for various tasks such as video recognition and action recognition.