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Example 015
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Example 015
Developed by tempmag
This is an image classification model generated by HuggingPics, achieving an accuracy rate of 94.12%.
Downloads 37
Release Time : 1/22/2023
Model Overview
This model is a PyTorch-based image classifier capable of classifying and recognizing input images.
Model Features
High accuracy
Achieved an accuracy rate of 94.12% on the test set.
Ease of use
Allows quick creation and deployment of your own image classifier via Google Colab.
Model Capabilities
Image classification
Object recognition
Use Cases
General image classification
Custom image classification
Users can train the model to recognize specific categories of images.
Accuracy rate reaches 94.12%
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