Změny mezi verzí 18 a verzí 19 u OcrDataset

Časová značka:

28. 11. 2022 13:12:43 (před 20 měsíci)

Autor:

xnovot32@fi.muni.cz

Komentář:

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OcrDataset

@@ -7 +7 @@
 The dataset from 2021 is structured as follows:
 
- * The archive `scanned-images.zip` contains 51,351 high-resolution scanned images.
- * The archive `ocr-texts.zip` contains 51,351 OCR texts in three formats:
+ * The archive [https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-4615/scanned-images.zip?sequence=7&isAllowed=y scanned-images.zip] (47.13 GB) contains 51,351 high-resolution scanned images.
+ * The archive [https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-4615/ocr-texts.zip?sequence=5&isAllowed=y ocr-texts.zip] (5.09 GB) contains 51,351 OCR texts in three formats:
    1. HOCR documents from the Tesseract 4 OCR engine.
    1. JSON documents from the [https://cloud.google.com/vision Google Vision AI] OCR engine.
    1. TXT documents that combine Tesseract and Google outputs to achieve maximum accuracy on different types of layout.
- * The archive `annotations-ocr.zip` contains 120 annotations for the evaluation of OCR. The directory is divided into two subdirectories for the evaluation of layout analysis:
+ * The archive [https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-4615#file_file_7686 annotations-ocr.zip] (178.62 KB) contains 120 annotations for the evaluation of OCR.[[BR]]The archive is divided into two subdirectories for the evaluation of layout analysis:
    1. The subdirectory `with-columns` contains annotations for 17 multi-column pages.
    1. The subdirectory `without-columns` contains annotations for 103 single-column pages.
- * The archive `annotations-language-identification.zip` contains 122 annotations for the evaluation of language identification.
+ * The archive [https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-4615/annotations-language-identification.zip?sequence=3&isAllowed=y annotations-language-identification.zip] (1.1 MB) contains 122 annotations for the evaluation of language identification.
 
 The supplementary materials from 2022 are structured as follows:
 
- * The archive `ocr-texts-supplementary.zip` contains 110 OCR texts for which we have both high-resolution scanned images and also annotations for the evaluation of OCR.
+ * The archive [https://nlp.fi.muni.cz/projects/ahisto/ocr-texts-supplementary.zip ocr-texts-supplementary.zip] (24.39 MB) contains 110 OCR texts for which we have both high-resolution scanned images and also annotations for the evaluation of OCR.[[BR]]The archive is divided into a number of subdirectories with outputs of different OCR engines:
    * The subdirectory `google-vision-ai-old` contains JSON and TXT documents from the Google Vision AI OCR engine from 2020-10-02.
    * The subdirectory `google-vision-ai` contains JSON and TXT documents from the Google Vision AI OCR engine from 2022-08-11.
@@ -32 +32 @@
 If you use our dataset in your work, please cite the following article:
 
-  Novotný, V., Seidlová, K., Vrabcová, T., Horák, A.: When Tesseract Brings Friends: Layout Analysis, Language Identification, and Super-Resolution in the Optical Character Recognition of Medieval Texts. In: Horák, A., Rychlý, P., Rambousek, A. (eds.) ''           Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2021''  . pp. 91–100. ISSN 2336-4289. ISBN 978-80-263-1600-8. Tribun EU (2021). Available also from WWW: https://nlp.fi.muni.cz/raslan/2021/paper10.pdf
+  Novotný, V., Seidlová, K., Vrabcová, T., Horák, A.: When Tesseract Brings Friends: Layout Analysis, Language Identification, and Super-Resolution in the Optical Character Recognition of Medieval Texts. In: Horák, A., Rychlý, P., Rambousek, A. (eds.) ''            Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2021''   . pp. 91–100. ISSN 2336-4289. ISBN 978-80-263-1600-8. Tribun EU (2021). Available also from WWW: https://nlp.fi.muni.cz/raslan/2021/paper10.pdf
 
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