AIbase
EN
Home
Resnet152 FV Finetuned Memes
R

Resnet152 FV Finetuned Memes

Developed by jayanta
A meme classification model fine-tuned based on Microsoft's ResNet-152 architecture, performing well in image classification tasks.
Image Classification
Transformers
Open Source License:Apache-2.0#Meme Classification#High-Precision Image Recognition#Fine-Tuned ResNet152
Downloads 26
Release Time : 10/21/2022

Model Overview

This model is an image classification model fine-tuned on a meme dataset based on Microsoft's ResNet-152 architecture, primarily used for meme recognition and classification tasks.

Model Features

High Accuracy
Achieves 75.58% accuracy on the test set, demonstrating good performance.
Fine-Tuning Optimization
Fine-tuned based on the ResNet-152 pre-trained model to adapt to meme classification tasks.
Comprehensive Evaluation Metrics
Provides multi-dimensional evaluation metrics including accuracy, precision, recall, and F1 score.

Model Capabilities

Image Classification
Meme Recognition
Multi-Class Classification

Use Cases

Social Media
Automatic Meme Classification
Automatically identifies and classifies meme images in social media
75.58% accuracy
Content Moderation
Meme Content Filtering
Identifies and filters inappropriate meme content
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase