Graffiti Drawing Detection Video Dataset - 550 Videos for Public Safety and Computer Vision
Overview
Graffiti Drawing Detection Video Dataset - 550 Videos for Public Safety and Computer Vision is a video and image dataset. The provider states a volume of 550 videos. Typical applications include alignment & RLHF and object detection. Relevant sectors: Education, AI & Machine Learning and Public Sector & Legal. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 550 videos.
Overview The Graffiti Drawing Detection Video Dataset is a commercial video dataset produced by the provider. It contains 550 Full HD videos of graffiti drawing on walls, captured outdoors from a static camera at 30 FPS across approximately 30–40 locations. Its metadata covers action type, camera height, camera distance, lighting, time of day and people count. The dataset supports computer vision, object detection and graffiti detection systems for smart city and public safety applications. Dataset at a Glance 1. Total number of files: 550 videos 2. Data type: video 3. Video format: MP4 4. Resolution: 1920×1080 (Full HD) 5. Frame rate: 30 FPS 6. Camera perspective: static 7. Environment: outdoors 8. Number of locations: ~30–40 9. Clothing change: every 10 videos 10. Tasks: public safety, computer vision Time of Day Distribution The dataset covers both daytime and low-light conditions, which helps detection systems work across different times of day: - Day: 361 videos (65.64%) - Evening/night: 189 videos (34.36%) Lighting Distribution Lighting conditions follow the time of day split: - Natural lighting: 361 videos (65.64%) - Artificial lighting: 189 videos (34.36%) With both lighting types represented, learning models can be trained and evaluated for detecting graffiti in different environmental conditions, which matters for real-time detection on city streets. Participants and Locations - The collection includes variation in participants and clothing, with clothing changed every 1
Related datasets
More in Video & Physical AI →Abandoned Object Detection Video Dataset - 1,062 Videos for Public Safety and Computer Vision
Overview The Abandoned Object Detection Video Dataset (referred to on the site as the ABODA dataset) is a commercial video dataset produced by the provider.
- Language
- —
- Volume
- 1,062 videos
- Domain
- Education +2
- Use case
- Alignment & RLHF
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