AIbase
EN
Home
South Indian Foods
S

South Indian Foods

Developed by Amrrs
This is an image classification model built with PyTorch and HuggingPics, specifically designed to recognize South Indian cuisine.
Image Classification
Transformers
#High-precision food recognition#South Indian specialty classification#Food industry applications
Downloads 40
Release Time : 3/2/2022

Model Overview

The model can accurately classify five types of South Indian specialty foods, including dosa, idli, vada, upma, and pongal.

Model Features

High Accuracy
Achieves 87.5% classification accuracy on the test set
Ease of Use
Built with the HuggingPics framework, supporting quick deployment and usage
Domain-Specific Optimization
Specially optimized for South Indian food images

Model Capabilities

Image classification
Food recognition
South Indian cuisine identification

Use Cases

Food Industry
Menu Auto-Classification
Automatically identifies and classifies South Indian food images in restaurant menus
Improves menu management efficiency
Food Recommendation System
Recommends specific types of South Indian cuisine based on user preferences
Enhances user experience
Education & Research
Dietary Culture Research
Assists in image analysis tools for studying South Indian dietary culture
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase