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).
Metadata
Release files for cpar 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cpar-1.0.3.tar.gz | 2.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cpar-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.0 kB
Release files / cpar-1.0.3.tar.gz
| Download URL | cpar-1.0.3.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
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Release files / cpar-1.0.3-py3-none-any.whl
| Download URL | cpar-1.0.3-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
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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
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