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Rare Puppers
R
Rare Puppers
Developed by Li-Tang
A dog image classification model based on PyTorch and HuggingPics, capable of accurately identifying multiple rare dog breeds.
Downloads 30
Release Time : 7/12/2022
Model Overview
This model specializes in image classification tasks for identifying rare dog breeds, trained via the HuggingPics framework with high accuracy.
Model Features
High Accuracy
Achieves 97.01% accuracy on the test dataset.
Ease of Use
Can be quickly deployed and used via Google Colab.
Scalability
Supports custom training data and can be adapted for other image classification tasks.
Model Capabilities
Image Classification
Dog Breed Recognition
Computer Vision
Use Cases
Pet Identification
Rare Dog Breed Recognition
Identifies rare dog breeds such as Corgis, Samoyeds, and Shiba Inus.
Accuracy as high as 97.01%.
Pet Application Development
Pet Social Apps
Used for automatically tagging dog breeds in user-uploaded pet photos.
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