CPAR Dataset
Introduction
CPAR Dataset consists of Devanagri(Hindi) Characters and Digits. This Dataset was collected by Mr. Rajiv Kumar.
Quick Tour
CPAR contains 48 Characters and 9 Digits.
Installation
Using PIP via PyPI
$ pip install cpar
Manually via GIT
$ git clone git://github.com/gaganmanku96/cpar
$ cd cpar
$ python setup.py install
Usage
Character Dataset
$ from cpar.char import load_data
$ (x_train, y_train), (x_test, y_test) = load_data()
Digit Dataset
$ from cpar.digit import load_data
$ (x_train, y_train), (x_test, y_test) = load_data()
Citations
- Kumar Rajiv, Amresh Kumar, and Pervez Ahmed. "A benchmark dataset for devnagari document recognition research." In 6th International Conference on Visualization, Imaging and Simulation (VIS'13), Lemesos, Cyprus, pp. 258-263. 2013.
- Kumar, Rajiv, and Kiran Kumar Ravulakollu. "HANDWRITTEN DEVNAGARI DIGIT RECOGNITION: BENCHMARKING ON NEW DATASET." Journal of theoretical & applied information technology 60, no. 3 (2014).
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cpar-1.0.3.tar.gz
(2.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
cpar-1.0.3-py3-none-any.whl
(4.2 kB
view details)
File details
Details for the file cpar-1.0.3.tar.gz.
File metadata
- Download URL: cpar-1.0.3.tar.gz
- Upload date:
- Size: 2.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.20.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c180fd25d7039d473c8d55ac6508f7963da89387ccff3f3538fc42ccc7dd2f1f
|
|
| MD5 |
6838403b97f7067f175015075ef41ec4
|
|
| BLAKE2b-256 |
47b24439279279699f44c9304bf2453ed4023b9a4a73f9ee8e0e21f46266db02
|
File details
Details for the file cpar-1.0.3-py3-none-any.whl.
File metadata
- Download URL: cpar-1.0.3-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.20.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
43b2e73702811ddfd5a6962f2d147220b02d47ba2e8c337c935a368a9faec481
|
|
| MD5 |
e3a5e60ff77333a7eb49e101ed84bc5c
|
|
| BLAKE2b-256 |
de6dc94153cec5b4ac5290ddbb6510f664c7d3902fe6e85cb32e76d07284548f
|