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Vit Finetuned Cats Dogs
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Vit Finetuned Cats Dogs

Developed by nickmuchi
A cat-dog image classification model fine-tuned based on Vision Transformer (ViT) architecture, achieving 99.7% accuracy
Image Classification
Transformers
#High-precision image classification#ViT fine-tuned model#Pet recognition
Downloads 39
Release Time : 3/2/2022

Model Overview

This model uses the ViT architecture for fine-tuning, specifically designed for distinguishing between cats and dogs in image classification tasks. Automatically generated by HuggingPics tool, suitable for rapid deployment in custom image classification scenarios.

Model Features

High accuracy
Achieves 99.7% accuracy on cat-dog classification tasks
ViT-based architecture
Utilizes Vision Transformer architecture with powerful image feature extraction capabilities
Easy to extend
Can be quickly adapted to other image classification tasks via HuggingPics tool

Model Capabilities

Image classification
Cat-dog recognition
Visual feature extraction

Use Cases

Pet recognition
Automatic pet photo classification
Automatically identifies cats or dogs in photos
Classification accuracy 99.7%
Smart photo albums
Organizing pet photos in albums
Helps users automatically sort photos containing cats or dogs
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