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Animal Classifier
A
Animal Classifier
Developed by Fabiuas
An animal image classification model based on PyTorch and HuggingPics, capable of recognizing multiple animal categories.
Downloads 89
Release Time : 11/28/2022
Model Overview
This model is an image classifier specifically designed for identifying and classifying images of different animal species.
Model Features
High accuracy
Achieves 94.81% accuracy on the test set.
Multi-category recognition
Capable of recognizing various animal categories including mammals, insects, reptiles, etc.
Ease of use
Automatically generated via HuggingPics tool, making it easy for users to create their own classifiers.
Model Capabilities
Image classification
Animal recognition
Multi-category classification
Use Cases
Biological research
Wildlife monitoring
Used for automatically identifying animal species captured by field cameras.
Improves monitoring efficiency and accuracy
Education
Children's educational apps
Helps children learn to identify different animals.
Enhances interactive learning experience
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