UniDataPro/fall-detection

Fall Detection - 10,000 videos

The dataset consists of 10,000 high-resolution videos capturing staged fall events performed by humans across diverse indoor and outdoor settings. It is specifically designed to advance detection research in computer vision, providing data for developing and evaluating robust detection systems.

By utilizing this dataset, researchers and developers can advance their understanding and capabilities in fall detection and recognition technologies. - Get the data

The dataset contains realistic scenarios recorded using both static and moving cameras at consistent 1080p quality. Each video includes detailed annotations and metadata with labels for various movements, enabling researchers to develop machine learning algorithms that can identify falls versus normal daily activity such as walking.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Researchers can utilize this dataset to explore detection algorithms and recognition techniques that aim to prevent injury. The models trained on this data can improve automating fall detection in real-world applications, from home monitoring to clinical environments.

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