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Resnet50 Finetuned Memes

Developed by jayanta
A meme classification model fine-tuned based on ResNet50 architecture, achieving 57.42% accuracy on image classification tasks
Image Classification
Transformers
Open Source License:Apache-2.0#Meme Classification#Image Fine-tuning Model#Medium Accuracy
Downloads 31
Release Time : 9/15/2022

Model Overview

This model is an image classification model fine-tuned on a meme dataset using the Microsoft ResNet50 pre-trained model, primarily used for meme image classification and recognition tasks.

Model Features

Efficient Fine-tuning
Fine-tuned based on the powerful ResNet50 architecture, performing well on meme classification tasks
Multi-metric Evaluation
Provides multiple evaluation metrics including accuracy, F1 score, precision, and recall
Optimized Training
Utilizes Adam optimizer and linear learning rate scheduler for optimized training

Model Capabilities

Image Classification
Meme Recognition
Image Feature Extraction

Use Cases

Social Media
Automatic Meme Classification
Used for automatic meme classification and tag generation on social media platforms
Accuracy reaches 57.42%
Content Moderation
Meme Content Recognition
Identifying and classifying user-uploaded meme content
F1 score 47.81%
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