UniDataPro/graffiti-drawing-detection-video

Graffiti Detection - 550 videos

Graffiti dataset contains 550 Full HD videos of graffiti drawing captured outdoors from a static camera at 30 FPS, across approximately 30–40 locations. With metadata covering action type, camera height, distance, lighting, time of day, and people count, this graffiti dataset supports computer vision, object detection, and graffiti detection systems for smart city and public safety applications.

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

The dataset contains realistic scenarios recorded using a static camera at consistent 1080p quality. Each video includes detailed annotations and metadata with labels for various actions, enabling researchers to develop machine learning algorithms that can identify graffiti drawing versus normal daily activity.

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Researchers can utilize this dataset to explore detection algorithms and recognition techniques that aim to prevent vandalism. The models trained on this data can improve automating graffiti detection in real-world applications, from smart city monitoring to law enforcement and property management.

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