24 datasets found

Formats: JSON Tags: video recognition

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  • Penn Action

    The Penn Action dataset is a real video dataset of people performing various indoor and outdoor sports with annotations of human joint locations.

  • MMX-Trailer-20 Dataset

    Long form video understanding (LVU) is a sub-domain of video recognition concerned with understanding contextual information across contiguous shots which can contain multiple...

  • LocalStyleFool

    LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything

  • Diving48

    The Diving48 dataset is a fine-grained video dataset of competitive diving. It has ∼18k trimmed video clips of 48 unambiguous dive sequences standardized by the professional....

  • Mini-Kinetics

    The Mini-Kinetics dataset is a mini version of the Kinetics-400 dataset, containing 240k training samples and 20k validation samples in 400 human action classes.

  • HMDB51 dataset

    The HMDB51 dataset is a video dataset for human action recognition. It contains 6,767 videos annotated with 51 categories of human actions.

  • Kinetics-700 dataset

    The Kinetics-700 dataset is a large-scale video dataset for human action recognition. It contains 555,774 videos annotated with 700 categories of human actions.

  • KTH

    The KTH dataset consists of videos of 25 people performing different activities.

  • HowTo100M

    The dataset used in the LORD framework for autonomous driving, consisting of images, videos, and text-based observations.

  • Moments in Time

    The Moments in Time dataset is a large-scale video action recognition dataset.

  • MoViNets: Mobile Video Networks for Efficient Video Recognition

    Mobile Video Networks (MoViNets) is a family of computation and memory efficient video networks that can operate on streaming video for online inference.

  • Jester

    The Jester dataset is of continuous jokes ratings from -10 to 10, containing the jokes’ texts.

  • 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-600

    The Kinetics-600 dataset consists of 392k training videos and 30k validation videos in 600 human action categories.

  • 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....

  • Something-Something V1 & V2

    The Something-Something V1 & V2 dataset is a large-scale video dataset created by crowdsourcing. It contains about 100k videos over 174 categories, and the number of videos...

  • 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...

  • 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.
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