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My Awesome Food Model
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My Awesome Food Model

Developed by Mustafa21
Food classification model based on ViT architecture, fine-tuned on the Food101 dataset with an accuracy of 98.5%
Image Classification
Transformers
#Food Image Classification#High-precision ViT#Transfer Learning Fine-tuning
Downloads 19
Release Time : 2/9/2023

Model Overview

This model is a food image classification model obtained by fine-tuning the google/vit-base-patch16-224-in21k pre-trained model on the Food101 dataset. It is primarily used to recognize images of 101 different food categories.

Model Features

High Accuracy
Achieves 98.5% classification accuracy on the Food101 dataset
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities
Lightweight Fine-tuning
Achieves excellent performance with fine-tuning on just 1000 training samples

Model Capabilities

Food Image Classification
Multi-category Recognition
Image Feature Extraction

Use Cases

Food Industry
Smart Menu Recognition
Automatically identifies food photos taken by users and matches them to a menu
Accurately recognizes 101 common food items
Health Management
Diet Log Analysis
Helps users automatically record daily food intake
Provides accurate food classification data
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