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Finetuned Indian Food

Developed by rajistics
This is a fine-tuned Indian food image classification model based on Google's ViT model, achieving an accuracy of 93.3%.
Downloads 141
Release Time : 7/15/2022

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the indian_food_images dataset, specifically designed for Indian food image classification tasks.

Model Features

High Accuracy
Achieves 93.3% accuracy on Indian food image classification tasks.
Based on ViT Architecture
Uses the Vision Transformer (ViT) base architecture, suitable for image processing tasks.
Fine-tuned
Fine-tuned on a specific Indian food dataset.

Model Capabilities

Indian Food Image Classification
Multi-category Image Recognition

Use Cases

Food Industry
Automatic Menu Classification
Used by restaurants to automatically identify and classify uploaded food images.
Accurately identifies common Indian food categories.
Food Quality Inspection
Helps food quality control teams quickly classify food images.
Education and Research
Cultural Studies
Used to study the differences in food culture across different regions of India.
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