| --- |
| license: cc-by-nc-nd-4.0 |
| task_categories: |
| - object-detection |
| - video-classification |
| tags: |
| - video |
| - sign language |
| - recognition |
| - gesture |
| - machine learning |
| - computer vision |
| - deep learning |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Gesture Recognition Dataset for computer vision tasks |
| Dataset consists of **10,000+** videos featuring individuals demonstrating **5** distinct hand gestures: "one," "four," "small," "fist," and "me." It helps researchers study **gesture recognition**, especially for **sign language** and **gesture-controlled devices**. The dataset features a wide array of individuals demonstrating gestures, which allows for the analysis of differences in hand shapes, sizes, and movements among various people. |
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| By showcasing different individuals performing the gestures, the videos enable robust training of **machine learning** models and **deep learning techniques**. - **[Get the data](https://unidata.pro/datasets/gesture-recognition/?utm_source=huggingface&utm_medium=referral&utm_campaign=gesture-recognition)** |
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| # Example of the data |
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| Each video is recorded under optimal lighting conditions and at a high resolution, ensuring clear visibility of the hand movements. Researchers can utilize this dataset to enhance their understanding of gesture recognition applications and improve the performance of recognition methods |
| # 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/gesture-recognition/?utm_source=huggingface&utm_medium=referral&utm_campaign=gesture-recognition) to discuss your requirements and pricing options. |
| This dataset is particularly valuable for developing and testing recognition algorithms and classification methods in hand-gesture recognition (HGR) systems. Developers and researchers can advance their capabilities in pattern recognition and explore new recognition systems that can be applied in various fields, including human-computer interaction and virtual reality. |
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| # 🌐 [UniData](https://unidata.pro/datasets/gesture-recognition/?utm_source=huggingface&utm_medium=referral&utm_campaign=gesture-recognition) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |
