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Rare Puppers
R
Rare Puppers
Developed by Qbonix
This is an image classification model based on the PyTorch framework and generated by the HuggingPics tool, specifically designed for identifying rare dog breeds.
Downloads 37
Release Time : 1/29/2023
Model Overview
The model can classify input images to identify specific rare dog breeds. Suitable for pet recognition, dog breed classification, and similar scenarios.
Model Features
Auto-generated
Automatically generated via the HuggingPics tool, enabling the creation of custom image classifiers without manual coding.
High accuracy
Achieved an accuracy of 64.38% on the test dataset, effectively identifying rare dog breeds.
Easy to use
Includes a Google Colab demo, allowing users to quickly get started and create their own classifiers.
Model Capabilities
Image classification
Rare dog breed identification
Use Cases
Pet recognition
Dog breed classification
Used to identify and classify rare dog breeds, helping pet enthusiasts learn about breed information.
Accuracy reached 64.38%
Animal research
Dog breed data analysis
Used in animal research to help researchers collect and analyze data on rare dog breeds.
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