BanglaNet-45: Handwritten Bangali Character Dataset

Description

BanglaNet-45: Handwritten Bengali Character Dataset Description: A comprehensive handwritten Bengali character dataset comprising 45 character classes including vowels and consonants. Collected from multiple writers and preprocessed at 300 DPI. Dataset Statistics: - Total Classes : 45 - Real Images : 4487 - Aug Images : 13800 - Image Size : 32x32 pixels - Color : Grayscale (Inverted) Black BG + White Text - Format : PNG - Train/Val/Test : 70% / 15% / 15% Character Classes: Vowels (11): অ আ ই ঈ উ ঊ ঋ এ ঐ ও ঔ Consonants (34): ক খ গ ঘ ঙ চ ছ জ ঝ ঞ ট ঠ ড ড় ঢ ঢ় ণ ত থ দ ধ ন প ফ ব ভ ম য র ল শ ষ স হ য় Folder Structure: real_data/ train/ - 70% of real images per class val/ - 15% of real images per class test/ - 15% of real images per class augmented_train/ - Real train + Augmented images - Target: 300 images per class Augmentation Techniques: - Rotation : ±12 degrees - Affine : scale(0.88-1.12), translate(±6%), shear(±8°) - Elastic : alpha=1.5, sigma=8 - Brightness : ±15% - Gaussian Noise : var(3-15) - Grid Distortion: limit=0.15 CSV Files: - full_dataset.csv : Complete dataset info - train.csv : Training set - val.csv : Validation set - test.csv : Test set - label_map.csv : Class label mapping License: CC BY 4.0 - Free to use with attribution Citation: [Nasir, Md Nasir Uddin; Sultana, Masrifa; Pranto, Md. Shoriful Islam (2026), “BanglaNet-45: Handwritten Bangali Character Dataset”, Mendeley Data, V1, doi: 10.17632/47fpd8js36.1]

Institutions

• Khwaja Yunus Ali University

  Rajshahi Division, Chauhāli

Categories

Licence