Rare Puppers
R
Rare Puppers
Developed by meame2010
This is an image classification model for identifying rare dog breeds with an accuracy of 64.44%.
Downloads 14
Release Time : 3/7/2022
Model Overview
Built on the PyTorch framework, this model is specifically designed for image classification of rare dog breeds. Automatically generated using HuggingPics, it is suitable for quick deployment and testing.
Model Features
Quick Deployment
Rapidly create custom image classifiers via Google Colab
Easy to Use
Achieve basic image classification without complex configurations
Scalability
Supports retraining for different themes
Model Capabilities
Dog breed image classification
Recognizing dog behaviors (e.g., eating, sleeping)
Use Cases
Pet Identification
Rare Dog Breed Recognition
Identify rare dog breeds in photos
Accuracy: 64.44%
Dog Behavior Analysis
Recognize daily dog behaviors (e.g., eating, sleeping, playing)
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