IndicSTR12-Hindi

Language

Hindi

Modality

Scene Text

Details Description

This dataset's images have been crawled from Google images using various keyword-based searches to cover all the daily avenues wherein Indic language text can be observed in natural settings. A few of them are mentioned here - wall paintings, railway stations, Signboards, shop/temple/mosque/gurudwara name-boards, advertisement banners, political protests, house plates, etc. Because they have been crawled from a search engine, they come from various sources, offering multiple conditions under which images were captured. Curated images have blurred, non-iconic/iconic text, low-resolution, occlusion, curved text, perspective projections due to non-frontal viewpoints, etc. Words within the images are automatically segmented to get individual word images. Then, we manually create the ground truth transcription of each word. This dataset consists of 1083 word images and their corresponding ground truth transcriptions. We divide this dataset into Training and Test Sets comprising 812 and 271 word images and their corresponding ground truth transcriptions, respectively. There are 585 unique Hindi words in the training set.

Training Set:

train.zip contains folder named “images” with 812 word level images, “train_gt.txt” file containing image name and ground truth transcription separated by “Tab space”, and “list_of_unique_words.txt” contains list of 585 unique words in the Training set.

Test Set:

test.zip contains folder named “images” with 271 word level images, and “test_gt.txt” containing image name and ground truth text separated by “Tab space”.

Downloads

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Sample Word Level Images from Training Set

Image Ground Truth
पुलिस
म.
क्रिएशन
पेट्रोल
पारित
रास्ता
विहार
ओखला
प्रतिक
पीना
भारतीय
का
विदे
छोटे
मे
कम्प्यूटर्स
सो.
मेटोर
स्थान
खतरनाक
बफोनी
रज्यय
डी
उँचाई
नोएडा
एस.
मंदिर
पाउडर
रतन ||
इसे
वीददपीठ
तत्वज्ञान
करें
नरसिंग
टेलर
मेहता
सेंट्रल
मोदी
लाल
यहाँ
दिल्ली
ऊँचे
सुरीली
तथा
की
गंगा
धरोहर
श्री
स्वागत
जंग
की
मॅक्डोलड्
पुरनी
रु.
बैंक
सी
हम
इंग्लिश
सिटी
माकैट
शादी
अलवर
गंगापुर
प्राधिकरण
मे
लेडीज
लांचे
लेडीज
लिए
ओं
लोई
विक्रता।
फैन्सी
चौक
केसरी
हॉर्न
से
हिंजवडी
रु
चशमे
जाने
यह
बु.
बेस्ट
लम्बी
कुपिय
टोकन
यह
जूते
फ्रूट
ऊपर
ओसत
तल
श्री
रास्ता
करे.
से
सावधान

Citation

If you use this dataset, please refer these papers

@inproceedings{mathew2017benchmarking, 
  title={Benchmarking scene text recognition in Devanagari, Telugu and Malayalam}, 
  author={Mathew, Minesh and Jain, Mohit and Jawahar, CV}, 
  booktitle={2017 14th IAPR international conference on document analysis and recognition (ICDAR)}, 
  volume={7}, 
  pages={42--46}, 
  year={2017}, 
  organization={IEEE} 
} 

@inproceedings{gunna2021transfer, 
  title={Transfer learning for scene text recognition in Indian languages}, 
  author={Gunna, Sanjana and Saluja, Rohit and Jawahar, CV}, 
  booktitle={International Conference on Document Analysis and Recognition}, 
  pages={182--197}, 
  year={2021}, 
  organization={Springer} 
} 

@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} 
} 

License

This dataset is under the license CC BY 4.0. For more details, please see the data_license.doc file.

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