Hypercomplex Bangla Handwriting Character Data

Description

The Bangla Handwritten Recognition Data consists of two main folders, namely "Train" and "Test Dataset." Within these folders, there are a total of 580 subfolders, each representing a distinct class or unique Bangla handwritten character. These subfolders are a result of collecting handwritten samples from various students who attended Orbit coaching center, capturing a diverse range of writing styles and variations. The dataset is designed to facilitate the development and evaluation of machine learning models for recognizing handwritten Bangla characters, making it a valuable resource for research and applications in character recognition and linguistic analysis within the context of the Bengali language.

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