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Clasificador Ojos
This is an image classification model built with PyTorch and HuggingPics, specifically designed to distinguish between closed and open eye images.
Downloads 28
Release Time : 11/18/2022
Model Overview
The model can classify input images to determine whether the eyes are closed or open. Suitable for scenarios requiring eye state detection.
Model Features
Easy to Use
Automatically generated by HuggingPics, allowing users to easily create their own image classifiers.
Highly Practical
Specifically designed for eye state classification, suitable for various applications requiring eye state detection.
Model Capabilities
Image Classification
Eye State Recognition
Use Cases
Health Monitoring
Drowsy Driving Detection
Detects driver's eye state to determine fatigue levels.
Helps prevent drowsy driving accidents.
Human-Computer Interaction
Eye Tracking Control
Implements basic eye-tracking control through eye state recognition.
Provides possibilities for accessible interaction.
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