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license: cc-by-nc-nd-4.0
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---
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- video-classification
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language:
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- en
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tags:
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- code
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---
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# Hand Gesture Recognition Dataset
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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.
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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.
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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.
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### The dataset's possible applications:
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- hand gesture recognition
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- gesture-based control systems
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- virtual reality interactions
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- sign language analysis
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- human pose estimation and action analysis
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- security and authentication systems
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# Get the Dataset
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### This is just an example of the data
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If you need access to the entire dataset, contact us via **[[email protected]](mailto:[email protected])** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)**
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# Content
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- **files**: includes folders corresponding to people and containing videos with 5 different shown gestures, each file is named according to the captured gesture
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- **.csv** file: contains information about files in the dataset
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### Hand gestures in the dataset:
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- "one"
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- "four"
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- "small"
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- "clenched fist"
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- "me"
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### File with the extension .csv
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includes the following information:
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- **set_id**: id of the set of videos,
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- **one**: link to the video with "one" gesture,
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- **four**: link to the video with "four" gesture,
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- **small**: link to the video with "small" gesture,
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- **fist**: link to the video with "fist" gesture,
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- **me**: link to the video with "me" gesture
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# Videos with hand gestures might be collected in accordance with your requirements.
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/trainingdata-pro**
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