Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/prabhuomkar/cmaterdb

Easy to use CMATERdb datasets converted in NumPy format
https://github.com/prabhuomkar/cmaterdb

cmater cmaterdb handwritten-digit-dataset handwritten-digits indic-numerals numpy

Last synced: about 1 month ago
JSON representation

Easy to use CMATERdb datasets converted in NumPy format

Host: GitHub
URL: https://github.com/prabhuomkar/cmaterdb
Owner: prabhuomkar
License: apache-2.0
Created: 2019-05-15T14:04:07.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2019-12-18T10:57:14.000Z (about 5 years ago)
Last Synced: 2024-05-01T19:53:54.321Z (8 months ago)
Topics: cmater, cmaterdb, handwritten-digit-dataset, handwritten-digits, indic-numerals, numpy
Language: Python
Homepage:
Size: 4 MB
Stars: 15
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE.md

Awesome Lists containing this project

README

        # CMATERdb

Easy to use CMATERdb datasets converted in NumPy format

[![License: Apache 2.0](https://img.shields.io/badge/license-Apache--2.0-blue.svg)](http://www.apache.org/licenses/LICENSE-2.0)

## About

CMATERdb is the pattern recognition database repository created at the ‘Center for Microprocessor Applications for Training Education and Research’ (CMATER) research laboratory, Jadavpur University, Kolkata 700032, INDIA. This database is free for all non-commercial uses. Please acknowledge CMATER explicitly, whenever you use this database for academic and research purposes. For using some databases, one must also cite relevant research publications, mentioned in this website.

**Official Dataset Repository**: [Link](https://code.google.com/archive/p/cmaterdb/)  

**Shifted Repository as per Google Code Archive (Not Live)**: [Link](http://www.cmaterju.org/cmaterdb.htm)

## Citing CMATERdb 3: Handwritten Indian script character database

If you use any of the CMATERdb datasets in your work, we would appreciate a reference to authors' original papers:

```

@article{Das:2012:GAB:2161007.2161320,

  author = {Das, Nibaran and Sarkar, Ram and Basu, Subhadip and Kundu, Mahantapas 

            and Nasipuri, Mita and Basu, Dipak Kumar},

  title = {A Genetic Algorithm Based Region Sampling for Selection of Local Features 

          in Handwritten Digit Recognition Application},

  journal = {Appl. Soft Comput.},

  issue_date = {May, 2012},

  volume = {12},

  number = {5},

  month = may,

  year = {2012},

  issn = {1568-4946},

  pages = {1592--1606},

  numpages = {15},

  url = {http://dx.doi.org/10.1016/j.asoc.2011.11.030},

  doi = {10.1016/j.asoc.2011.11.030},

  acmid = {2161320},

  publisher = {Elsevier Science Publishers B. V.},

  address = {Amsterdam, The Netherlands, The Netherlands},

  keywords = {Feature selection, Genetic algorithm, N-Quality consensus, 

  Optimal local regions, Region sampling, Variable sized local regions},

}

```

```

@article{Das:2012:SFC:2240301.2240421,

  author = {Das, Nibaran and Reddy, Jagan Mohan and Sarkar, Ram and Basu, Subhadip and Kundu, 

            Mahantapas and Nasipuri, Mita and Basu, Dipak Kumar},

  title = {A Statistical-topological Feature Combination for Recognition of Handwritten Numerals},

  journal = {Appl. Soft Comput.},

  issue_date = {August, 2012},

  volume = {12},

  number = {8},

  month = aug,

  year = {2012},

  issn = {1568-4946},

  pages = {2486--2495},

  numpages = {10},

  url = {http://dx.doi.org/10.1016/j.asoc.2012.03.039},

  doi = {10.1016/j.asoc.2012.03.039},

  acmid = {2240421},

  publisher = {Elsevier Science Publishers B. V.},

  address = {Amsterdam, The Netherlands, The Netherlands},

  keywords = {Character recognition, Feature combination, MPCA, PCA, SVM, Statistical, Topological},

}

```

## News and Updates

**IMPORTANT**:  

- How to use script added!

## The Dataset

- **CMATERdb 3.1.1: Handwritten Bangla numeral database** is a balanced dataset of total 6000 Bangla numerals (32x32 RGB coloured, 6000 images), each having 600 images per classs(per digit).

![Bangla Numerals](images/bangla.png)

- **CMATERdb 3.2.1: Handwritten Devanagari numeral database** is a balanced dataset of total 3000 Devanagari numerals (32x32 RGB coloured, 3000 images), each having 300 images per classs(per digit).

![Devanagari Numerals](images/devanagari.png)

- **CMATERdb 3.4.1: Handwritten Telugu numeral database** is a balanced dataset of total 3000 Telugu numerals (32x32 RGB coloured, 3000 images), each having 300 images per classs(per digit).

![Telugu Numerals](images/telugu.png)

## Get the data

Script to download images and easy to use functions are on the way!

## How to use?

Check out our load function in [usage.py](scripts/usage.py)

### CMATERdb 3.1.1: Handwritten Bangla numeral database

| File                        | Examples |  Download (NumPy format)        |

|-----------------------------|----------|---------------------------------|

| Training images with labels | 5000     | [training-images.npz](https://github.com/prabhuomkar/CMATERdb/raw/master/datasets/bangla-numerals/training-images.npz) (700KB) |

| Testing images with labels  | 1000     | [testing-images.npz](https://github.com/prabhuomkar/CMATERdb/raw/master/datasets/bangla-numerals/testing-images.npz) (141KB)  |

### CMATERdb 3.2.1: Handwritten Devanagari numeral database

| File                        | Examples |  Download (NumPy format)        |

|-----------------------------|----------|---------------------------------|

| Training images with labels | 2500     | [training-images.npz](https://github.com/prabhuomkar/CMATERdb/raw/master/datasets/devanagari-numerals/training-images.npz) (347KB) |

| Testing images with labels  | 500      | [testing-images.npz](https://github.com/prabhuomkar/CMATERdb/raw/master/datasets/devanagari-numerals/testing-images.npz) (70KB)   |

### CMATERdb 3.4.1: Handwritten Telugu numeral database

| File                        | Examples |  Download (NumPy format)        |

|-----------------------------|----------|---------------------------------|

| Training images with labels | 2500     | [training-images.npz](https://github.com/prabhuomkar/CMATERdb/raw/master/datasets/telugu-numerals/training-images.npz) (338KB) |

| Testing images with labels  | 500      | [testing-images.npz](https://github.com/prabhuomkar/CMATERdb/raw/master/datasets/telugu-numerals/testing-images.npz) (68KB)   |

## License

Both the dataset itself and the contents of this repo are licensed under [Apache 2.0 License](LICENSE.md) as given [here](https://code.google.com/archive/p/cmaterdb/).