Comida-VGM Open-Source Image Classification Model - Freely Deployed for Accurate Food Classification

Comida Vgm

Developed by api19750904

An image classification model built on PyTorch and HuggingPics, specifically designed for food classification

Downloads 11

Release Time : 10/19/2022

Model Overview

This model is a custom image classifier capable of accurately identifying various food categories such as hamburgers, macaroni, pizza, and pasta.

High accuracy

Achieves 95.5% accuracy in image classification tasks

Ease of use

Easily create custom classifiers through the HuggingPics tool

Multi-category recognition

Capable of recognizing multiple common food categories

Food image classification

Multi-category recognition

Food and beverage industry

Automatic dish recognition

Used for automatic dish classification in restaurants or food delivery platforms

Accurately identifies uploaded dish images

Health management

Diet logging application

Helps users automatically record daily meals

Automatically identifies food types through photos

Property	Details
Tags	image-classification, pytorch, huggingpics
Metrics	accuracy
Model Name	comida-vgm
Task	Image Classification
Accuracy	0.9550561904907227

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