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My Awesome Food Model

Developed by luigg
This is a food classification model fine-tuned on the food101 dataset based on Google's ViT model, achieving an accuracy of 89.5%.
Downloads 17
Release Time : 2/21/2023

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food101 dataset, primarily used for food image classification tasks.

Model Features

High Accuracy
Achieves a classification accuracy of 89.5% on the food101 dataset.
Based on ViT Architecture
Uses the Vision Transformer architecture, which has excellent image understanding capabilities.
Lightweight Fine-tuning
Performs lightweight fine-tuning on the pre-trained model, ensuring high training efficiency.

Model Capabilities

Food Image Classification
Image Feature Extraction

Use Cases

Food and Beverage Industry
Dish Recognition
Used for automatic recognition and classification of restaurant menu items.
Can accurately identify 101 different food categories.
Health Management
Diet Logging
Helps users automatically record and analyze daily dietary intake.
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