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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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