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Resnet Finetuned HHD
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Resnet Finetuned HHD

Developed by sivan22
This is a ResNet model fine-tuned on a Hebrew handwriting dataset for the classification task of Hebrew handwritten characters.
Image Classification
Transformers
 Other#Hebrew Handwriting Recognition#ResNet Fine-tuning#Handwritten Text Classification
Downloads 28
Release Time : 5/9/2023

Model Overview

The model, through fine-tuning the ResNet architecture, is specifically designed for recognizing and classifying Hebrew handwritten characters. Suitable for fields such as education and document digitization.

Model Features

Hebrew Handwriting Recognition
Specially optimized for Hebrew handwritten characters, capable of accurately recognizing and classifying different characters.
Based on ResNet Architecture
Utilizes the ResNet architecture, which has excellent image feature extraction capabilities, making it suitable for complex image classification tasks.

Model Capabilities

Image Classification
Handwritten Character Recognition

Use Cases

Education
Hebrew Handwriting Instruction
Used to assist Hebrew learners in practicing and correcting handwritten characters.
Improves learning efficiency and accuracy.
Document Digitization
Handwritten Document Transcription
Converts Hebrew handwritten documents into digital text.
Enhances document processing efficiency and searchability.
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