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Animal Classifier
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Animal Classifier

Developed by Falcom
An image classification model based on PyTorch and HuggingPics, capable of accurately identifying multiple animal categories.
Image Classification
Transformers
#High-precision animal recognition#Multi-species classification#Image classification
Downloads 22
Release Time : 8/12/2022

Model Overview

This model is an image classifier specifically designed to recognize different types of animals, such as cats, dogs, elephants, etc.

Model Features

High accuracy
Achieved 100% accuracy in testing, reliably identifying multiple animal species.
Ease of use
Automatically generated via HuggingPics, allowing users to easily create their own image classifiers.
Diverse recognition
Supports recognition of multiple animal categories, including butterflies, cats, chickens, cows, dogs, elephants, horses, sheep, spiders, and squirrels.

Model Capabilities

Image classification
Animal recognition
Multi-category classification

Use Cases

Wildlife monitoring
Automatic animal recognition
Used in automatic animal recognition systems for nature reserves or wildlife parks.
Accurately identifies various wildlife species
Pet applications
Pet classification
Automatically identifies pet species in pet-related applications.
Accurately distinguishes common pets like cats and dogs
Agricultural applications
Livestock management
Used on farms to automatically identify and manage livestock.
Accurately identifies farm animals such as cows, sheep, and chickens
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