Open-source cat and dog classification model: PerrosVSgatos_openai_clip-vit-large-patch14 - Free deployment for accurate cat and dog recognition

Perrosvsgatos Openai Clip Vit Large Patch14

Developed by julenalvaro

A cat vs. dog classification model based on CLIP-ViT-Large, achieving 60.95% accuracy on the evaluation set

Downloads 37

Release Time : 1/4/2023

Model Overview

This model is a fine-tuned vision classification model based on CLIP-ViT-Large, specifically designed to distinguish between cat and dog images

Fine-tuned on CLIP-ViT

Utilizes the powerful CLIP vision transformer architecture for transfer learning

Lightweight Classification

Focuses on simple binary classification tasks, suitable for rapid deployment

Image Classification

Animal Recognition

Cat vs. Dog Distinction

Pet-related Applications

Automatic Pet Photo Classification

Automatically identifies cats or dogs in photos

Accuracy approximately 60.95%

Pet Community Content Management

Automatically tags uploaded images with pet types for pet communities

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.771	0.5	500	0.6933	0.4995
0.6967	1.0	1000	0.6882	0.556
0.695	1.5	1500	0.6728	0.581
0.6733	2.0	2000	0.6950	0.5915
0.6768	2.5	2500	0.6694	0.5855
0.6639	3.0	3000	0.6829	0.5795
0.652	3.5	3500	0.6637	0.5925
0.642	4.0	4000	0.6518	0.6095

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