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Rare Puppers

Developed by jmarshall
This is an image classification model based on PyTorch and HuggingPics, specifically designed for identifying rare dog breeds.
Image Classification
Transformers
#High-precision dog breed identification#Pet image classification#Lightweight model
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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