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Crime Cctv Image Detection
基于Google Vision Transformer (ViT)架构的图像分类模型，用于检测监控摄像头图像中的犯罪行为，准确率约83%。
Downloads 117
Release Time : 11/2/2024
Model Overview
该模型专门用于分析监控摄像头画面，自动识别是否存在犯罪行为。基于ViT架构实现高效图像分类，适用于公共安全领域。
Model Features
高精度犯罪检测
在测试数据集上达到82.64%的准确率，F1分数0.8262
基于ViT架构
采用Vision Transformer架构，适合处理图像分类任务
实时监控支持
适用于实时分析监控摄像头画面
Model Capabilities
图像分类
犯罪行为识别
监控视频分析
Use Cases
公共安全
实时犯罪监控
部署在监控系统中自动检测可疑行为
可帮助安保人员及时发现潜在犯罪活动
历史录像分析
批量分析存储的监控录像寻找犯罪证据
提高证据收集效率
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