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Autotrain Food101 1471154050

Developed by juliensimon
This is a food image classification model trained on the food101 dataset using AutoTrain, achieving an accuracy of 89%
Downloads 15
Release Time : 9/15/2022

Model Overview

A vision classification model trained on the food101 dataset, capable of recognizing 101 different categories of food images

Model Features

High Accuracy
Achieves 89% classification accuracy on the validation set
Multi-class Classification
Supports recognition of 101 different food categories
Auto Training
Uses AutoTrain to automatically optimize the training process

Model Capabilities

Food Image Recognition
Multi-class Classification
Visual Feature Extraction

Use Cases

Food Industry
Menu Auto Recognition
Automatically identifies and classifies food photos uploaded by users
Can be integrated into food apps to enable smart ordering
Food Quality Inspection
Analyzes food appearance quality through images
Health Management
Diet Logging
Automatically identifies and records the types of food consumed by users
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