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Beer Vs Wine
A PyTorch-based image classification model for distinguishing between beer and wine pictures.
Downloads 39
Release Time : 3/2/2022
Model Overview
This model is a simple image classifier capable of accurately identifying whether a picture contains beer or wine.
Model Features
High Accuracy
Achieved 97.78% accuracy on the test set.
Easy to Use
Automatically generated via HuggingPics tool, suitable for quick deployment.
Scenario-Specific Optimization
Specifically optimized for beer and wine classification tasks.
Model Capabilities
Image Classification
Beer Recognition
Wine Recognition
Use Cases
Food and Beverage Industry
Automatic Alcohol Classification
Automatically identifies alcohol pictures in restaurants or bars for inventory management or menu generation.
Accuracy reached 97.78%
Retail Industry
E-commerce Product Classification
Automatically classifies beer and wine product images on e-commerce platforms.
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