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Teeth A
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Teeth A

Developed by steven123
A tooth image classification model based on the PyTorch framework, capable of identifying three states: healthy teeth, missing teeth, and dental caries
Image Classification
Transformers
#Dental Health Detection#Oral Image Classification#Medical Auxiliary Diagnosis
Downloads 30
Release Time : 6/15/2022

Model Overview

This model is automatically generated by the HuggingPics tool, focusing on image classification tasks for tooth health status, and can be used for preliminary tooth health screening

Model Features

Automatically Generated
A customized image classifier automatically generated by the HuggingPics tool
Easy to Use
Provides a Google Colab demo program for users to quickly create and use
Multi-Category Recognition
Capable of distinguishing between three different states: healthy teeth, missing teeth, and dental caries

Model Capabilities

Tooth Image Classification
Health Status Recognition
Automatic Image Analysis

Use Cases

Healthcare
Preliminary Tooth Health Screening
Used for preliminary identification of tooth health status, distinguishing between healthy teeth, missing teeth, and dental caries
Accuracy 45.45%
Dental Auxiliary Diagnosis
Can serve as an auxiliary tool for dentists to quickly classify tooth images
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