
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.
Dataset Files
File | Size |
---|---|
DevanagariHandwrittenCharacterDataset/Train/digit_0/9546.png | 880 Bytes |
DevanagariHandwrittenCharacterDataset/Train/digit_0/28878.png | 870 Bytes |
DevanagariHandwrittenCharacterDataset/Train/digit_0/39573.png | 852 Bytes |
DevanagariHandwrittenCharacterDataset/Train/digit_0/39392.png | 850 Bytes |
DevanagariHandwrittenCharacterDataset/Train/digit_0/39527.png | 848 Bytes |
0 to 5 of 92000
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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, S. & Gyawali, P. (2015). Devanagari Handwritten Character Dataset [Dataset]. UCI Machine Learning Repository. 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.