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Deit Base Patch16 224 FV Finetuned Memes
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Deit Base Patch16 224 FV Finetuned Memes

Developed by jayanta
A meme classification model fine-tuned from facebook/deit-base-patch16-224, achieving 84.85% accuracy on the imagefolder dataset
Image Classification
Transformers
Open Source License:Apache-2.0#Meme Classification#High-precision ViT#Social Entertainment Applications
Downloads 11
Release Time : 10/21/2022

Model Overview

This model is an image classification model based on the Vision Transformer architecture, specifically fine-tuned for meme recognition tasks, suitable for social media content analysis and meme classification scenarios

Model Features

High-precision Meme Recognition
Achieves 84.85% accuracy on the test set, capable of effectively recognizing various types of memes
Based on Vision Transformer
Utilizes advanced Transformer architecture for image classification with powerful feature extraction capabilities
Lightweight Fine-tuning
Efficient fine-tuning on pre-trained models, saving training resources

Model Capabilities

Image Classification
Meme Recognition
Social Media Content Analysis

Use Cases

Social Media Analysis
Automatic Meme Classification
Automatically identifies and classifies meme content in social media
84.85% accuracy
Content Moderation
Inappropriate Content Recognition
Identifies potentially inappropriate meme content
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