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Vit Classification Huggingface

Developed by pytholic
A classification model based on Hugging Face Vision Transformer for the Animal-10 dataset, achieving an accuracy of 98.09%
Image Classification
Transformers
#High-precision Image Classification#Vision Transformer#Animal Recognition
Downloads 14
Release Time : 9/23/2022

Model Overview

This model uses the Vision Transformer architecture to classify animal images in the Animal-10 dataset, supporting recognition of 10 different animal categories.

Model Features

High Accuracy
Achieves a classification accuracy of 98.09% on the Animal-10 test set
Vision Transformer Architecture
Utilizes advanced Transformer architecture for image classification tasks
Multi-category Recognition
Capable of recognizing 10 different animal categories

Model Capabilities

Image Classification
Animal Recognition
Visual Feature Extraction

Use Cases

Computer Vision Applications
Animal Recognition System
Build an application system for automatic animal species recognition
Accurately classifies 10 common animal species
Educational Aid Tool
Used for animal recognition features in children's educational applications
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