metadata
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configs:
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data_files:
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path: assamese/train-*
- split: validation
path: assamese/validation-*
- split: test
path: assamese/test-*
- config_name: bengali
data_files:
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path: bengali/train-*
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path: bengali/validation-*
- split: test
path: bengali/test-*
- config_name: gujarati
data_files:
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path: gujarati/train-*
- split: validation
path: gujarati/validation-*
- split: test
path: gujarati/test-*
- config_name: hindi
data_files:
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path: hindi/train-*
- split: validation
path: hindi/validation-*
- split: test
path: hindi/test-*
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data_files:
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path: kannada/train-*
- split: validation
path: kannada/validation-*
- split: test
path: kannada/test-*
- config_name: malayalam
data_files:
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path: malayalam/train-*
- split: validation
path: malayalam/validation-*
- split: test
path: malayalam/test-*
- config_name: marathi
data_files:
- split: train
path: marathi/train-*
- split: validation
path: marathi/validation-*
- split: test
path: marathi/test-*
- config_name: odia
data_files:
- split: train
path: odia/train-*
- split: validation
path: odia/validation-*
- split: test
path: odia/test-*
- config_name: punjabi
data_files:
- split: train
path: punjabi/train-*
- split: validation
path: punjabi/validation-*
- split: test
path: punjabi/test-*
- config_name: tamil
data_files:
- split: train
path: tamil/train-*
- split: validation
path: tamil/validation-*
- split: test
path: tamil/test-*
- config_name: telugu
data_files:
- split: train
path: telugu/train-*
- split: validation
path: telugu/validation-*
- split: test
path: telugu/test-*
- config_name: urdu
data_files:
- split: train
path: urdu/train-*
- split: validation
path: urdu/validation-*
- split: test
path: urdu/test-*
language:
- as
- hi
- gu
- ta
- te
- bn
- ur
- mr
- kn
- ml
- pa
tags:
- ocr
IndicSTR12 (Full Images)
This document describes the full-image portion of the IndicSTR12 real dataset.
Source
This dataset was downloaded from the CVIT IndicSTR12 Project.
Paper: IndicSTR12: A Dataset for Indic Scene Text Recognition
Authors: Harsh Lunia, Ajoy Mondal, C V Jawahar
Conference: ICDAR 2023
Note: This repository contains only the Real Dataset. The Synthetic Dataset is not included.
Structure
raw_data/
├── assamese/
│ ├── [image_id].jpeg
│ └── [image_id]_gt.txt
├── bengali/
├── gujarati/
├── hindi/
├── kannada/
├── malayalam/
├── marathi/
├── odia/
├── punjabi/
├── tamil/
├── telugu/
└── urdu/
Ground Truth (_gt.txt)
Each line is tab-separated:
word_id x1 y1 x2 y2 x3 y3 x4 y4 text
(x1,y1)...(x4,y4)are the four polygon corners of the word box in the image.textis the Unicode transcription for that word.
Bounding Boxes (Polygon)
In the converted dataset, bboxes are stored as the original polygon:
[x1, y1, x2, y2, x3, y3, x4, y4]
Citation
If you use this dataset in your research, please cite:
@inproceedings{lunia2023indicstr12,
title={IndicSTR12: A Dataset for Indic Scene Text Recognition},
author={Lunia, Harsh and Mondal, Ajoy and Jawahar, CV},
booktitle={International Conference on Document Analysis and Recognition},
pages={233--250},
year={2023},
organization={Springer}
}
Acknowledgements
This work is supported by MeitY, Government of India, through the NLTM-Bhashini project.
License
Please refer to the original dataset source for licensing information.