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Animals Classifier
A
Animals Classifier
Developed by victor
An animal image classification model based on PyTorch and HuggingPics, capable of accurately identifying different types of animals.
Downloads 207
Release Time : 3/2/2022
Model Overview
This model is specifically designed for animal image classification tasks and can recognize multiple animal categories, suitable for scenarios such as wildlife monitoring and pet identification.
Model Features
High Accuracy
Achieved an accuracy rate of 98.21% on test data, demonstrating excellent performance.
Ease of Use
Built on PyTorch and HuggingPics, making it easy to integrate and use.
Model Capabilities
Animal image classification
Multi-category recognition
Use Cases
Wildlife Monitoring
Animal Identification in Nature Reserves
Used for automatically identifying animal species in nature reserves
Improves monitoring efficiency and reduces manual intervention
Pet Applications
Pet Breed Identification
Identifying the breed of pet dogs
Helps pet owners understand their pets' information
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