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arXiv · 2506.05372

DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios

Dimitrios Kollias·Damith C. Senadeera·Jianian Zheng·Kaushal K. K. Yadav·Greg Slabaugh·Muhammad Awais·Xiaoyun Yang
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Abstract

Violence Detection (VD) has become an increasingly vital area of research. Existing automated VD efforts are hindered by the limited availability of diverse, well-annotated databases. Existing databases suffer from coarse video-level annotations, limited scale and diversity, and lack of metadata, restricting the generalization of models. To address these challenges, we introduce DVD, a large-scale (500 videos, 2.7M frames), frame-level annotated VD database with diverse environments, varying lighting conditions, multiple camera sources, complex social interactions, and rich metadata. DVD is designed to capture the complexities of real-world violent events.

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Dimitrios Kollias, Damith C. Senadeera, Jianian Zheng, Kaushal K. K. Yadav, Greg Slabaugh, Muhammad Awais, Xiaoyun Yang. 2025-05-29. DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios. https://arxiv.org/abs/2506.05372

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