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Animal Classifier
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Animal Classifier

Developed by ritheshSree
An image classification model based on the PyTorch framework and generated by the HuggingPics tool, capable of accurately identifying different types of animals.
Image Classification
Transformers
#High-precision animal recognition#PyTorch lightweight#HuggingPics customization
Downloads 18
Release Time : 6/10/2022

Model Overview

This model is a custom image classifier specifically designed to recognize and classify various types of animals, such as cats, dogs, snakes, and tigers.

Model Features

High accuracy
The model achieved 100% accuracy in image classification tasks.
Custom training
Can generate custom image classifiers for any object using the HuggingPics tool.
Ease of use
Provides a Google Colab demo for users to quickly get started and use the model.

Model Capabilities

Image classification
Animal recognition

Use Cases

Animal recognition
Pet identification
Identify the species of household pets such as cats and dogs.
Accurately identifies images of cats and dogs.
Wildlife monitoring
Used for animal monitoring and classification in wildlife reserves.
Accurately identifies images of wildlife such as snakes and tigers.
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