# Text Region Detection in Historical Astronomical Diagrams 

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.

# Dataset
## Content
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:
```
EIDA/
├── train/
│   ├── <filename_1>.jpg
│   ├── <filename_1>.json
│   │   .
│   │   .
│   ├── <filename_N>.jpg
│   └── <filename_N>.json
├── val/
└── test/
```

For class-aware annotations, we provide `EIDALatin`, which contains Latin subset with text classes, and splits in `.txt` format:
```
EIDALatin/
├── data/
│   ├── <filename_1>.jpg
│   ├── <filename_1>.json
│   │   .
│   │   .
│   ├── <filename_N>.jpg
│   └── <filename_N>.json
├── train.txt
├── val.txt
└── test.txt
```