Devanagari Handwritten Character Dataset
Donated on 8/31/2016
This is an image database of Handwritten Devanagari characters. There are 46 classes of characters with 2000 examples each. The dataset is split into training set(85%) and testing set(15%).
Dataset Characteristics
-
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Integer
# Instances
92000
# Features
-
Dataset Information
Additional Information
Data Type: GrayScale Image The image dataset can be used to benchmark classification algorithm for OCR systems. The highest accuracy obtained in the Test set is 98.47%. Model Description is available in the paper http://ieeexplore.ieee.org/document/7400041/ More information on the dataset at http://cvresearchnepal.com/dhcd/.
Has Missing Values?
No
Variable Information
Image Format: .png Resolution: 32 by 32 Actual character is centered within 28 by 28 pixel, padding of 2 pixel is added on all four sides of actual character.
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset devanagari_handwritten_character_dataset = fetch_ucirepo(id=389) # data (as pandas dataframes) X = devanagari_handwritten_character_dataset.data.features y = devanagari_handwritten_character_dataset.data.targets # metadata print(devanagari_handwritten_character_dataset.metadata) # variable information print(devanagari_handwritten_character_dataset.variables)
Acharya,Shailesh and Gyawali,Prashnna. (2016). Devanagari Handwritten Character Dataset. UCI Machine Learning Repository. https://doi.org/10.24432/C5XS53.
@misc{misc_devanagari_handwritten_character_dataset_389,
author = {Acharya,Shailesh and Gyawali,Prashnna},
title = {{Devanagari Handwritten Character Dataset}},
year = {2016},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5XS53}
}Creators
Shailesh Acharya
Prashnna Gyawali
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.