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# Gesture Recognition Dataset for computer vision tasks
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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=
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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
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# 💵 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=
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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=
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# Gesture Recognition Dataset for computer vision tasks
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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
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# 💵 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.
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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
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