HossamBalaha/HMBD-v1

HMBD: Arabic Handwritten Characters Dataset

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Experimental

This dataset provides a collection of 54,115 images of Arabic handwritten characters, including isolated forms, and characters in beginning, middle, and end positions, as well as numbers. It helps researchers and engineers working on optical character recognition by providing a standardized input for developing and testing models that can interpret Arabic handwriting. The output is typically a trained recognition system or benchmark results. This is primarily for researchers, machine learning engineers, and data scientists focused on computer vision and natural language processing for Arabic scripts.

No commits in the last 6 months.

Use this if you need a non-commercial dataset to train or evaluate machine learning models for recognizing handwritten Arabic characters and numbers.

Not ideal if you require a dataset for commercial applications or need to work with full handwritten Arabic words or sentences rather than individual characters.

Arabic handwriting recognition optical character recognition image classification machine learning research computer vision
No License Stale 6m No Package No Dependents
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Aug 08, 2021

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