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Indian Snacks
I
Indian Snacks
Developed by hgarg
This is an image classification model generated using the PyTorch framework and HuggingPics tool, specifically designed for identifying Indian snacks.
Downloads 26
Release Time : 3/2/2022
Model Overview
The model can classify images of five Indian snacks (Dosa, Idli, Naan, Samosa, Vada) with an accuracy of 65%.
Model Features
Auto-generated
An image classification model automatically generated by the HuggingPics tool, requiring no manual coding to create.
Multi-category Classification
Capable of recognizing five different categories of Indian snacks.
Model Capabilities
Image Classification
Multi-category Recognition
Use Cases
Food & Beverage Industry
Menu Auto-recognition
Used for automatic classification and recognition of Indian snacks in restaurant menus.
65% accuracy
Food Recommendation System
Helps users identify types of Indian snacks in food recommendation applications.
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