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My Food Classifier

Developed by MariaK
A fine-tuned food classification model based on google/vit-base-patch16-224-in21k, performing excellently on the evaluation set
Downloads 25
Release Time : 1/19/2023

Model Overview

This model is a food classifier based on the Vision Transformer architecture, designed to recognize and classify different types of food images.

Model Features

High Accuracy
Achieves 93.6% accuracy on the training set and performs well on the validation set
Based on ViT Architecture
Utilizes the Vision Transformer architecture, suitable for image classification tasks
Fine-tuned Model
Fine-tuned from the pre-trained google/vit-base-patch16-224-in21k model

Model Capabilities

Food Image Classification
Image Recognition

Use Cases

Food Industry
Automatic Food Classification
Used in automatic food classification systems for restaurants or food delivery services
Helps automate menu management and inventory control
Health Applications
Diet Logging App
Automatically identifies and logs food intake in health management apps
Helps users track diet and nutrition intake more accurately
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