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Beit Base
Pre-trained model based on BEiT architecture, fine-tuned on the cats_vs_dogs dataset for image classification tasks
Downloads 18
Release Time : 3/6/2023
Model Overview
This model is a pre-trained model based on the BEiT architecture, fine-tuned on the cats_vs_dogs dataset specifically for cat and dog image classification tasks. It achieved a high accuracy of 99.77% on the evaluation set.
Model Features
High accuracy
Achieved a classification accuracy of 99.77% on the cats_vs_dogs dataset
Based on BEiT architecture
Utilizes the BEiT (Bidirectional Encoder representation from Image Transformers) architecture, combining the advantages of vision Transformers
Efficient fine-tuning
Achieves high performance with minimal training epochs (3 epochs)
Model Capabilities
Image classification
Cat and dog recognition
Visual feature extraction
Use Cases
Pet recognition
Pet photo classification
Automatically identifies cats or dogs in photos
99.77% accuracy
Smart photo albums
Automatic photo categorization
Helps users automatically organize photos containing cats or dogs
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