Vit Finetuned Cats Dogs
V
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
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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