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A general-purpose image classification model generated by HuggingPics, suitable for various image classification tasks.
Downloads 14
Release Time : 4/28/2022
Model Overview
This model is a PyTorch-based image classifier capable of classifying input images. Automatically generated by the HuggingPics tool, it is suitable for custom image classification tasks.
Model Features
High accuracy
Achieved an accuracy of 92.62% in testing, demonstrating excellent performance.
Easy customization
Easily create custom image classifiers for any subject using the HuggingPics tool.
PyTorch-based
Built using the PyTorch framework, offering strong compatibility and easy deployment.
Model Capabilities
Image classification
Custom category recognition
Use Cases
General image classification
Object recognition
Identify specific objects or categories in images.
Accuracy 92.62%
Custom classifier
Train a classifier for specific categories based on user-provided image data.
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