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Teeth Test
This is an image classification model for dental health status, capable of identifying three states: healthy teeth, missing teeth, and cavities.
Downloads 14
Release Time : 6/14/2022
Model Overview
This model is built on the PyTorch framework and automatically generated via the HuggingPics tool for dental health status image classification tasks.
Model Features
Auto-Generated
Automatically generated via the HuggingPics tool, simplifying the image classification model creation process.
Multi-Class Classification
Capable of identifying three different dental states: healthy teeth, missing teeth, and cavities.
Model Capabilities
Dental Health Status Classification
Image Recognition
Use Cases
Dental Diagnosis
Dental Health Screening
Used for preliminary dental health screening to identify potential issues.
Accuracy: 55.56%
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