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Check Missing Teeth

Developed by steven123
An image classification model built with PyTorch and HuggingPics for detecting missing teeth
Downloads 14
Release Time : 7/8/2022

Model Overview

This model automatically classifies whether teeth are missing by analyzing oral images, suitable for dental diagnosis assistance scenarios

Model Features

High Accuracy
Achieves 93.75% classification accuracy on the test set
Ease of Use
Quickly built via the HuggingPics framework with Colab demo support
Domain-specific Optimization
Specifically optimized for teeth missing detection tasks

Model Capabilities

Teeth missing detection
Oral image classification

Use Cases

Dental Diagnosis
Teeth Missing Screening
Automatically screens for missing teeth in patient oral images
Assists dentists in quickly identifying missing teeth issues
Pre-treatment Assessment
Evaluates missing conditions before tooth restoration or implantation
Provides reference for treatment plans
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