My_food_classifier Open-source Food Classification Model - Accurately Identify Various Delicious Foods with High Practical Value

My Food Classifier

Developed by susnato

A food classification model based on Google Vision Transformer (ViT) architecture, fine-tuned on an unknown dataset

Downloads 24

Release Time : 1/14/2023

Model Overview

This model is a food classifier fine-tuned from the google/vit-base-patch16-224-in21k pre-trained model, suitable for image classification tasks

Based on ViT Architecture

Utilizes the Vision Transformer architecture, leveraging self-attention mechanisms for image classification tasks

Efficient Fine-tuning

Fine-tuned on a pre-trained model, achieving high accuracy after just 4 training epochs

Food Image Classification

Visual Feature Extraction

Food Recognition

Restaurant Dish Classification

Used for automatically identifying and classifying different dishes on restaurant menus

Achieved 94.5% accuracy on the evaluation dataset

Food Inventory Management

Helps supermarkets or warehouses automatically identify and categorize food items

Train Loss	Validation Loss	Train Accuracy	Epoch
0.0180	0.2310	0.946	0
0.0126	0.2385	0.946	1
0.0104	0.2445	0.944	2
0.0088	0.2505	0.944	3
0.0074	0.2560	0.945	4

Property	Details
Model Type	Fine - tuned version of google/vit - base - patch16 - 224 - in21k
License	Apache 2.0

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