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Vit Base Patch16 224 In21k Finetuned Lora Food101
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Vit Base Patch16 224 In21k Finetuned Lora Food101

Developed by sayakpaul
Food image classification model based on ViT architecture, fine-tuned on the Food101 dataset with an accuracy of 96%
Image Classification
Transformers
Open Source License:Apache-2.0#Food Image Classification#High-precision ViT#LoRA Fine-tuning
Downloads 39
Release Time : 2/7/2023

Model Overview

This model is a version fine-tuned using LoRA technology based on Google's ViT base model on the Food101 dataset, specifically designed for food image classification tasks.

Model Features

High Accuracy
Achieves 96% classification accuracy on the Food101 dataset
LoRA Fine-tuning
Uses LoRA technology for efficient fine-tuning, reducing computational costs
Based on ViT Architecture
Adopts the Vision Transformer architecture, suitable for processing image data

Model Capabilities

Food image classification
Image feature extraction

Use Cases

Catering Industry
Dish Recognition
Automatically identifies food categories in restaurant dish photos
Accurately recognizes 101 different food types
Nutritional Analysis
Combines with nutritional databases for automatic nutritional analysis
Smart Home
Smart Refrigerator
Identifies food items stored in the refrigerator
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