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Hugging Doge
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Hugging Doge
Developed by velociraptor
An image classification model generated by HuggingPics, specifically designed to identify different dog breeds.
Downloads 15
Release Time : 3/2/2022
Model Overview
This is a PyTorch-based image classification model capable of accurately identifying multiple dog breeds, including Corgis, Golden Retrievers, Huskies, Poodles, and Shiba Inus.
Model Features
High Accuracy
Achieved 93.75% accuracy on the test set, reliably identifying multiple dog breeds.
Ease of Use
Automatically generated via the HuggingPics tool, allowing users to easily create their own image classifiers.
Diverse Recognition
Supports identification of multiple common dog breeds, meeting general pet recognition needs.
Model Capabilities
Image Classification
Dog Breed Identification
Use Cases
Pet Identification
Dog Breed Identification
Identify dog breeds in photos, such as Corgis, Golden Retrievers, etc.
Accuracy rate of 93.75%
Educational Applications
Zoology Education
Help students recognize and learn the characteristics of different dog breeds.
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