R

Rare Puppers

Developed by Symbermine
An image classification model based on the PyTorch framework, specifically designed for identifying rare dog breeds
Downloads 31
Release Time : 3/28/2022

Model Overview

This model can accurately identify various rare dog breeds, including Siberian Huskies, Cocker Spaniels, Greyhounds, etc., with an accuracy rate of 92.86%

Model Features

High Accuracy
Achieves a classification accuracy of 92.86% on the test set
Multi-Breed Recognition
Capable of identifying various rare dog breeds, including Siberian Huskies, Cocker Spaniels, etc.
Auto-Generated
An image classifier automatically generated by the HuggingPics tool

Model Capabilities

Image Classification
Dog Breed Identification
Rare Dog Breed Detection

Use Cases

Pet Identification
Dog Breed Identification
Helps pet owners or veterinarians identify uncommon dog breeds
Accurately identifies various rare dog breeds
Pet Shelter Management
Assists shelter staff in quickly classifying newly received dogs
Improves shelter work efficiency
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