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My Test Model

Developed by Avelardo
This is an image classification model generated by HuggingPics, capable of recognizing multiple food categories.
Image Classification
Transformers
#High-precision food classification#Restaurant image recognition#Lightweight classifier
Downloads 18
Release Time : 1/12/2023

Model Overview

This model is a PyTorch-based image classifier specifically designed to recognize various types of food, such as barbecue, burgers, fried chicken, soup, and toast.

Model Features

High accuracy
Achieved an accuracy of 92.79% on test data.
Multi-category recognition
Capable of recognizing multiple food categories, including barbecue, burgers, fried chicken, etc.
Easy to use
Easily create your own image classifier through the Google Colab demo.

Model Capabilities

Image classification
Food recognition

Use Cases

Food and beverage industry
Automatic menu categorization
Automatically identify and categorize food images in restaurant menus.
Improves menu management efficiency
Food quality inspection
Identify whether the appearance of food meets standards.
Assists in food quality control
Personal applications
Food diary
Automatically record the types of food in daily meals.
Helps users track eating habits
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