R

Rare Puppers

Developed by Rimiru
This is an image classification model based on the PyTorch framework and generated using HuggingPics tools, specifically designed for recognizing rare dog breeds.
Downloads 19
Release Time : 1/12/2023

Model Overview

The model can accurately identify various rare dog breeds and is suitable for scenarios such as pet identification and breed classification.

Model Features

High Accuracy
Achieves an accuracy rate of 91.96% on the test set, demonstrating excellent performance.
Ease of Use
Generated via HuggingPics tools, supporting quick deployment and usage.
Flexibility
Can be adapted to other image classification tasks with retraining.

Model Capabilities

Image Classification
Dog Breed Recognition
Rare Dog Breed Detection

Use Cases

Pet Identification
Dog Breed Classification
Identify the breed of dogs in photos, especially rare breeds.
Accuracy rate as high as 91.96%
Pet Management
Pet Profile Creation
Automatically create classified profiles for pets to facilitate management.
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