V

Vit Base Letter

Developed by pittawat
An image classification model fine-tuned on a letter recognition dataset based on Google's ViT base model, achieving 98.81% accuracy
Downloads 93
Release Time : 3/20/2023

Model Overview

This model is a letter recognition model fine-tuned from Google's ViT base architecture, specifically designed for alphabet classification tasks in images.

Model Features

High Accuracy
Achieves 98.81% accuracy on letter recognition tasks
Based on ViT Architecture
Utilizes Vision Transformer base architecture with powerful image feature extraction capabilities
Lightweight Fine-tuning
Only 4 epochs of fine-tuning on the pre-trained model, ensuring high training efficiency

Model Capabilities

Image Classification
Letter Recognition
Character Recognition

Use Cases

Document Processing
Handwritten Letter Recognition
Recognize handwritten letters in scanned documents or photos
98.81% accuracy
Educational Technology
Alphabet Learning Applications
Used in children's educational apps to recognize and validate written letters
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