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hand-gesture-recognition-dataset

Tasks:
Video Classification
Languages:
English
Tags:
code
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metadata
language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - video-classification
tags:
  - code
dataset_info:
  features:
    - name: set_id
      dtype: int32
    - name: fist
      dtype: string
    - name: four
      dtype: string
    - name: me
      dtype: string
    - name: one
      dtype: string
    - name: small
      dtype: string
  splits:
    - name: train
      num_bytes: 1736
      num_examples: 28
  download_size: 1510134076
  dataset_size: 1736

Hand Gesture Recognition Dataset

The dataset consists of videos showcasing individuals demonstrating 5 different hand gestures ("one", "four", "small", "fist", and "me"). Each video captures a person prominently displaying a single hand gesture, allowing for accurate identification and differentiation of the gestures.

The dataset offers a diverse range of individuals performing the gestures, enabling the exploration of variations in hand shapes, sizes, and movements across different individuals.

The videos in the dataset are recorded in reasonable lighting conditions and with adequate resolution, to ensure that the hand gestures can be easily observed and studied.

The dataset's possible applications:

  • hand gesture recognition
  • gesture-based control systems
  • virtual reality interactions
  • sign language analysis
  • human pose estimation and action analysis
  • security and authentication systems

Get the dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.

Content

  • files: includes folders corresponding to people and containing videos with 5 different shown gestures, each file is named according to the captured gesture
  • .csv file: contains information about files in the dataset

Hand gestures in the dataset:

  • "one"
  • "four"
  • "small"
  • "clenched fist"
  • "me"

File with the extension .csv

includes the following information:

  • set_id: id of the set of videos,
  • one: link to the video with "one" gesture,
  • four: link to the video with "four" gesture,
  • small: link to the video with "small" gesture,
  • fist: link to the video with "fist" gesture,
  • me: link to the video with "me" gesture

Videos with hand gestures might be collected in accordance with your requirements.

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets