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Vit Base Patch16 224 Finetuned Memes V3
This is an image classification model fine-tuned based on Google's ViT model, specifically designed for meme recognition tasks.
Downloads 13
Release Time : 10/18/2022
Model Overview
This model is a fine-tuned version of google/vit-base-patch16-224 on an image folder dataset, primarily used for image classification tasks, especially meme recognition.
Model Features
High Accuracy
Achieved 84.78% accuracy on the evaluation dataset.
Based on ViT Architecture
Utilizes Vision Transformer (ViT) architecture, effectively processing image data.
Fine-tuned Optimization
Specially optimized for meme recognition tasks.
Model Capabilities
Image Classification
Meme Recognition
Use Cases
Social Media
Automatic Meme Classification
Automatically identifies and classifies meme images in social media.
Accuracy up to 84.78%
Content Moderation
Meme Content Filtering
Identifies and filters inappropriate meme content.
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