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Visual Transformer Chihuahua Cookies

Developed by peterbonnesoeur
An image classification model based on the Vision Transformer architecture, specifically designed to distinguish between images of Chihuahuas and cookies
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is an image classifier trained using the Vision Transformer architecture, capable of accurately identifying and classifying images of Chihuahuas and cookies.

Model Features

High accuracy
Achieves a classification accuracy of 93.75% on the test set
Easy to use
Automatically generated via the HuggingPics framework, making it easy to deploy and use
Domain-specific optimization
Specifically optimized for images of Chihuahuas and cookies

Model Capabilities

Image classification
Object recognition

Use Cases

Pet recognition
Chihuahua recognition
Identify Chihuahuas in images
93.75% accuracy
Food recognition
Cookie recognition
Identify cookies in images
93.75% accuracy
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