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Dog Races
D
Dog Races
Developed by roschmid
This is a PyTorch-based image classification model specifically designed to identify different dog breeds, achieving an accuracy of 82.99%.
Downloads 15
Release Time : 3/2/2022
Model Overview
The model is used to recognize 9 different dog breeds, including Border Collie, Chow Chow, German Shepherd, etc. Automatically generated by HuggingPics, it is an improvement over the previous version.
Model Features
High Accuracy
Achieves 82.99% accuracy on the test set, with some breeds exceeding 90% recognition accuracy.
Multi-Breed Recognition
Capable of recognizing 9 different dog breeds, covering common breeds.
Data Improvement
Resolved data contamination issues from the previous version (Chow Chow images mixed with pickled cucumber images).
Model Capabilities
Image Classification
Dog Breed Recognition
Use Cases
Pet Recognition
Automatic Dog Breed Identification
Upload a dog image to automatically identify its breed
82.99% accuracy, with higher accuracy for certain breeds
Pet-Related Applications
Pet Social Apps
Automatically tag dog breeds in pet social platforms
Pet Medical Services
Assist veterinarians in quickly identifying dog breeds
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