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Iiif Manuscript Vit

Developed by davanstrien
A manuscript image classification model fine-tuned based on Google's ViT model, achieving an F1 score of 0.5996 on the evaluation set
Downloads 25
Release Time : 3/2/2022

Model Overview

This model is a Vision Transformer model fine-tuned based on Google's ViT-base architecture, specifically designed for manuscript image classification tasks.

Model Features

Based on ViT Architecture
Utilizes the Vision Transformer architecture, suitable for processing image data
Fine-tuning Optimization
Fine-tuned on a specific dataset, optimized for manuscript image classification tasks
Moderate Performance
Achieves an F1 score of 0.5996 on the evaluation set

Model Capabilities

Image Classification
Manuscript Image Recognition

Use Cases

Digital Humanities
Ancient Manuscript Classification
Classify and recognize ancient manuscript images
F1 score 0.5996
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