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Rare Puppers
R
Rare Puppers
Developed by hafidber
An image classification model built with PyTorch and HuggingPics, specifically designed for identifying rare dog breeds.
Downloads 31
Release Time : 4/6/2022
Model Overview
This model can accurately identify various rare dog breeds, such as Corgis, Samoyeds, and Shiba Inus, and is suitable for pet recognition, breed classification, and similar scenarios.
Model Features
High Accuracy
Achieves 95.52% accuracy on the test set, reliably identifying multiple rare dog breeds.
Ease of Use
Built with the HuggingPics framework, allowing users to easily create their own image classifiers.
Scalability
The model architecture supports expansion to more dog breeds or other image classification tasks.
Model Capabilities
Dog Breed Recognition
Image Classification
Pet Recognition
Use Cases
Pet Management
Dog Breed Identification App
Used by veterinary hospitals or shelters to quickly identify dog breeds
Improves work efficiency and reduces manual identification errors
Pet Social Platform
Automatically adds breed labels to uploaded pet photos
Enhances user experience and provides more accurate content classification
Education & Research
Dog Breed Learning Tool
Used for zoology education or dog enthusiasts' learning
Helps users quickly identify and understand characteristics of different dog breeds
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