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New dataset ExtrAnom enhances women's safety video anomaly detection

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced the ExtrAnom dataset, a new multi-modal benchmark designed to improve video anomaly detection (VAD) specifically for women's safety. The dataset contains 1001 videos, with 501 labeled as anomalous, covering crimes like stalking, chain snatching, and harassment. ExtrAnom includes challenging conditions such as low-light and low-resolution footage, and each video is accompanied by both human-generated and LLM-generated textual descriptions to aid cross-modal validation. AI

IMPACT This dataset could lead to more effective AI systems for detecting and preventing crimes against women in real-world surveillance scenarios.

RANK_REASON The cluster contains an academic paper introducing a new dataset and benchmark for a specific AI task.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New dataset ExtrAnom enhances women's safety video anomaly detection

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Sangeeta, Maddikuntla Sai Prajwal, Debi Prosad Dogra, Kamalakar Vijay Thakare, Hyungjoo Jung, Ig-Jae Kim, Heeseung Choi ·

    An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?

    arXiv:2605.25806v1 Announce Type: new Abstract: Women's safety and security are paramount for a modern society. Crimes against women occur in daylight as well as in low-light conditions. Often, such events are captured through real-world surveillance cameras that operate at lower…

  2. arXiv cs.CV TIER_1 English(EN) · Heeseung Choi ·

    An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?

    Women's safety and security are paramount for a modern society. Crimes against women occur in daylight as well as in low-light conditions. Often, such events are captured through real-world surveillance cameras that operate at lower resolutions. Despite substantial progress in CV…

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