Rare Puppers
R
Rare Puppers
Developed by jmarshall
This is an image classification model based on PyTorch and HuggingPics, specifically designed for identifying rare dog breeds.
Downloads 30
Release Time : 4/20/2022
Model Overview
The model can accurately classify images of various rare dog breeds, suitable for scenarios such as pet recognition and dog breed classification.
Model Features
High accuracy
Achieved an accuracy rate of 94.03% on test data.
Ease of use
Automatically generated via the HuggingPics framework, making it easy to deploy and use.
Domain-specific optimization
Specifically optimized for rare dog breeds, delivering excellent recognition performance.
Model Capabilities
Image classification
Dog breed identification
Pet image analysis
Use Cases
Pet recognition
Dog breed classification
Identify the dog breed in the image, such as Corgi, Samoyed, Shiba Inu, etc.
Accuracy rate reaches 94.03%
Pet management
Pet profile creation
Automatically identify dog breeds to assist in creating pet profiles.
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