This dataset is intended for testing purposes only. It contains a set of test data to evaluate the performance of models. It does not include training or validation data.

TEXTRON Paper Release Dataset (WACV 2024)

Welcome to the TEXTRON Paper Release Dataset for the WACV 2024 conference! This dataset contains handwritten and printed text detection datasets in three different languages. This README provides essential information on the dataset structure, contents, and how to use the data effectively for your research purposes.

Introduction

The TEXTRON Paper Release Dataset is a collection of handwritten and printed text detection datasets curated specifically for the WACV 2024 conference. This dataset aims to support research and development in the field of text detection across various languages and text types.

Dataset Overview

Dataset Name: TEXTRON Paper Release Dataset (WACV 2024)
Conference: WACV 2024
Text Types: Handwritten and Printed
Handwritten Languages: Devanagari, Kannada, Telugu
Printed Languages: Gujarati, Malayalam, Tamil

Dataset Details

The dataset comprises text samples from three different languages for each Printed and Handwriten text types:

Language	Handwritten Images
Devanagari	220
Telugu	85
Kannada	46

Language	Printed Images
Gujarati	323
Malayalam	225
Tamil	225

Dataset Structure

The dataset is organized into the following directory structure:

TEXTRON_Paper_Release_Dataset_WACV_2024/
|
├── Handwritten
│   ├── PhDIndic11_Devanagari
│   │   ├── images
│   │   └── txt
│   ├── PhDIndic11_Kannada
│   │   ├── images
│   │   └── txt
│   └── PhDIndic11_Telugu
│       ├── images
│       └── txt
├── Printed
│   ├── Gujarati
│   │   ├── images
│   │   └── txt
│   ├── Malayalam
│   │   ├── images
│   │   └── txt
│   └── Tamil
│       ├── images
│       └── txt
└── README.md

Images: This directory contains the raw images of handwritten and printed text samples in each language.
Annotations: This directory contains annotation files corresponding to the images, providing information about the location of word level bounding boxes. All the files contain text class describing class of annotation

File Formats

Image Files: Images are provided in the format of JPG.
Annotation Files: Annotations are provided in TXT format detailing the bounding boxes and corresponding text content.

Citation

If you use this dataset in your research work, please cite the following paper:

@InProceedings{TEXTRON,
    author    = {Dhruv Kudale and Badri Vishal Kasuba and Venkatapathy Subramanian and Parag Chaudhuri and Ganesh Ramakrishnan},
    title     = {TEXTRON: Weakly Supervised Multilingual Text Detection Through Data Programming},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2024},
    pages     = {2871-2880},
    url       = {https://arxiv.org/abs/2402.09811}
}

License

The TEXTRON Paper Release Dataset is released under [GNU]. Please refer to the LICENSE file in this repository for more details.

Contact

For any inquiries or issues regarding the dataset, please contact:

Name: Ganesh Ramakrishnan
Mail: [email protected]
Affl: IIT Bombay

Thank you for using the TEXTRON Paper Release Dataset! We hope this resource proves valuable in your research endeavors.

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