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Gesture Recognition Dataset

A dataset of videos featuring people demonstrating five different hand gestures.

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  • videos
    10,000+
  • hand gestures
    5
  • Gesture Recognition
  • Detection
  • Human-Computer Interaction
  • Computer Vision
  • Machine learning
  • videos
    10,000+
  • hand gestures
    5

Dataset Info

Characteristic Data
Description Each video shows a person clearly demonstrating a single hand gesture
Data types Video
Tasks Detection, Classification, Recognition
Number of video 10,000+
Labeling Metadata(id, gender)
Gender Male, female
Type of hand gesture One, four, small, fist, and me.
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Technical
Characteristics

Characteristic Data
File extension mp4
Source and collection methodology. Data was collected by UniData team by using the crowdsourcing service

Industries

Human-Computer Interaction:

  • Sign Language Recognition:

    Supporting the development of systems that can interpret sign language for improved communication accessibility.

  • Gesture-Based Control Systems:

    Systems allowing users to control devices through gestures, enhancing interaction without traditional input methods.

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Entertainment Industry:

  • Virtual Reality Interactions:

    Utilizing gestures in VR to create immersive experiences, enabling users to interact naturally with virtual environments.

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