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Videomae Base Finetuned Kinetics Finetuned Fall Detect
基于VideoMAE架构的视频动作识别模型，专门针对跌倒检测任务进行了微调
Downloads 105
Release Time : 3/21/2024
Model Overview
该模型是在VideoMAE基础模型上，针对跌倒检测任务进行微调的视频动作识别模型。在评估集上取得了92.77%的准确率。
Model Features
高准确率
在跌倒检测任务上达到92.77%的准确率
基于VideoMAE架构
采用高效的视频掩码自编码器预训练架构
轻量级微调
在基础模型上进行针对性微调，保留原有特征提取能力
Model Capabilities
视频动作识别
跌倒检测
人类行为分析
Use Cases
医疗健康
老年人跌倒监测
用于养老院或家庭环境中监测老年人跌倒情况
可实时检测跌倒事件并发出警报
智能监控
公共场所安全监测
用于商场、医院等公共场所的异常行为检测
可识别跌倒等紧急情况并通知安保人员
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