C

Cvt 13 384 In22k FV Finetuned Memes

Developed by jayanta
An image classification model fine-tuned on the image folder dataset based on microsoft/cvt-13-384-22k, achieving an accuracy of 83.46% on the evaluation set
Downloads 11
Release Time : 10/21/2022

Model Overview

This model is a variant of Microsoft's CVT architecture, specifically fine-tuned for image classification tasks, particularly suitable for meme classification scenarios.

Model Features

High accuracy
Achieves 83.46% accuracy in image classification tasks
Based on CVT architecture
Utilizes Microsoft's CVT vision transformer architecture with powerful feature extraction capabilities
Fine-tuning optimization
Precisely optimized on specific datasets to enhance performance in particular scenarios

Model Capabilities

Image classification
Feature extraction
Visual pattern recognition

Use Cases

Content classification
Meme classification
Automatically classify internet memes
83.46% accuracy
Content moderation
Image content recognition
Identify specific content categories in images
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