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Rare Puppers

Developed by ferdinand
This is an image classification model built with PyTorch and HuggingPics, specifically designed to identify rare dog breeds.
Image Classification
Transformers
#High-precision Dog Breed Identification#Pet Image Classification#Custom Image Classification
Downloads 40
Release Time : 3/2/2022

Model Overview

The model can accurately classify various rare dog breeds, such as Corgis, Samoyeds, and Shiba Inus, and is suitable for pet recognition and related applications.

Model Features

High Accuracy
Achieved an accuracy rate of 98.61% on the test set, demonstrating excellent performance.
Ease of Use
Easily create custom image classifiers via Google Colab.
Flexibility
The model framework supports the creation of classifiers for any subject, not limited to dog breed identification.

Model Capabilities

Image Classification
Dog Breed Identification
Pet Recognition

Use Cases

Pet Recognition
Dog Breed Classification
Identify dog breeds in images, such as Corgis, Samoyeds, etc.
Accuracy rate as high as 98.61%
Pet Management
Used for automated recognition systems in pet hospitals or pet stores.
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