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Icecreamtypes
I
Icecreamtypes
Developed by samay
An image classification model based on PyTorch and HuggingPics, designed to recognize different types of ice cream.
Downloads 16
Release Time : 1/2/2023
Model Overview
This model focuses on image classification tasks and can identify different types of ice cream with an accuracy of 55.56%.
Model Features
Image Classification
Capable of classifying input ice cream images and identifying their types.
PyTorch-based
Built using the PyTorch framework, making it easy to train and deploy.
HuggingPics Support
Integrated with HuggingPics for streamlined image data processing and model training.
Model Capabilities
Image Classification
Ice Cream Type Recognition
Use Cases
Food Industry
Ice Cream Type Recognition
Used to identify different types of ice cream, aiding the food industry in product classification and quality control.
Accuracy rate is 55.56%.
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