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GitHub / harmeshgv / YoloV8-LSTM-video-Classification

A real-time violence detection system leveraging YOLO models for object detection and scene analysis. Extracted features are processed using an LSTM-based classifier to differentiate violent and non-violent actions. The system generates an automated incident report, summarizing key events and highlighting detected violence with visual insights.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harmeshgv%2FYoloV8-LSTM-video-Classification
PURL: pkg:github/harmeshgv/YoloV8-LSTM-video-Classification

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Python
Size: 74.1 MB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 20 days ago
Pushed at: 20 days ago
Last synced at: 20 days ago

Topics: classification, docker-container, fastapi, jenkins, lstm-neural-networks, machine-learning, yolov11

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