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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
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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**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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