Datasets:
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# Text Region Detection in Historical Astronomical Diagrams
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Official repository of the paper _"Text region detection in historical astronomical diagrams"_. We introduce the first large, diverse, open-access dataset of **948** historical astronomical diagrams annotated with **10,940** oriented polygonal text regions that spans ten centuries (8<sup>th</sup> to 18<sup>th</sup>) and seven major traditions: Arabic, Persian, Chinese, Byzantine, Latin, Hebrew, and Sanskrit.
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# Dataset
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## Content
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We provide our dataset under two directories, namely `EIDA` and `EIDALatin`, with annotations in `LabelMe` format. `EIDA` contains images and associated annotations of all traditions (including Latin) under `train`, `val`, and `test` splits:
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```
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EIDA/
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βββ train/
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β βββ <filename_1>.jpg
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β βββ <filename_1>.json
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β β .
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β β .
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β βββ <filename_N>.jpg
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β βββ <filename_N>.json
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βββ val/
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βββ test/
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```
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For class-aware annotations, we provide `EIDALatin`, which contains Latin subset with text classes, and splits in `.txt` format:
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```
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EIDALatin/
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βββ data/
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β βββ <filename_1>.jpg
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β βββ <filename_1>.json
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β β .
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β β .
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β βββ <filename_N>.jpg
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β βββ <filename_N>.json
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βββ train.txt
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βββ val.txt
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βββ test.txt
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```
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