# Meme Classification

A meme classification model fine-tuned from facebook/deit-base-patch16-224, achieving 84.85% accuracy on the imagefolder dataset

A meme classification model fine-tuned based on Microsoft's ResNet-50 architecture, achieving 64.5% accuracy on image classification tasks

A meme classification model fine-tuned based on Microsoft's ResNet-152 architecture, performing well in image classification tasks.

This is an image classification model fine-tuned based on Google's ViT model, specifically designed for meme recognition tasks.

A meme classification model fine-tuned based on ResNet50 architecture, achieving 57.42% accuracy on image classification tasks