IndicSTR12-Marathi

Language

Marathi

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 1630 word images and their corresponding ground truth transcriptions. We divide this dataset into Training and Test Sets comprising 1222 and 408 word images and their corresponding ground truth transcriptions, respectively. There are 923 unique Marathi words in the training set.

Training Set:

train.zip contains folder named “images” with 1222 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 923 unique words in the Training set.

Test Set:

test.zip contains folder named “images” with 408 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
मध्य
इथेच
मराठी
सरस्वती
एस.
प्रकल्प.
हा
तोडू
चित्रिकरण
वापर
उघडयावर
(रोझ
ईथे
सांगली.
स्मृतिमंदिर
चायनिज
साटेलकर
छाया
अरविद
चौधरी
सौ.ज्योती
संदीप
दादा
धन्यवाद
माध्यमिक
माध्यम
नात्यांचा!
मुंबरकर
पंपावर
गोली
दहीकाला
थकबाकी
नागरी
नोव्हेंबर
टॅक्स
शहर
वाडीतील
रेल्वे
निवडणूक
बंद
वेळ:
जागा
सुखी
डोके
म.
आदेशावरून
कट् टर
आऊट
भारतीय
दणका
लेडीज
एंटरप्राइजेस्
+गिफ्ट
ऑफ
+गिफ्ट
ज्वेलरी
घाटकोपर
दशमी
सनातन
प्रशाला
पतसंस्था
हॉस्पीटल
पोलीस
फोन
पार्टी
जनातांत्रिक
रोड
१०%
स्वच्छ
चहा
जय
क्र.
मुंबई
उच्च
कथा
निमति
संवाद
पुणे
नागरिक
वाचवा
रामदासजी
वाढदिवसाच्या
निषेध..
चांदिवली
सुंदर
रेहमान
मागा
महाराष्ट्र
शिवाजी
चहाचे
गद्यारांना
माधवाश्रम
गृहाची
कोल्ड्रींक
निषेध...
हे

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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