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Hatornot
An image classification model generated by HuggingPics, used to detect whether hats or helmets are worn in pictures
Downloads 23
Release Time : 12/26/2022
Model Overview
This model is an image classifier based on the PyTorch framework, specifically designed to identify whether people in images are wearing hats or helmets. Automatically generated by the HuggingPics tool, it is suitable for simple wear detection scenarios.
Model Features
Auto-generated
An image classifier automatically generated by the HuggingPics tool, requiring no complex programming to create
Easy to Use
Focused on the specific task of hat/helmet detection, with low barriers to entry
Google Colab Support
Includes a Colab demo for quick experience and deployment
Model Capabilities
Image Classification
Wear Detection
Hat Recognition
Helmet Recognition
Use Cases
Safety Monitoring
Construction Site Helmet Detection
Monitor whether workers on construction sites are wearing safety helmets
Recognition accuracy of 86.67%
Wear Analysis
Hat Wearing Statistics
Statistics on hat-wearing rates in public places
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