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ICDAR2019 Dataset

Data Downloading

The ICDAR2019 ArT images and annotations Official Website | Download Link

Note: Please register an account to download this dataset

For the images, the archived file train_images.tar.gz from the section "Task 1 and Task 3" needs to be downloaded. For the annotations, the .JSON file train_labels.json from the same section needs to be downloaded.

After downloading the dataset, unzip the files, after which the directory structure should be like as follows (ignoring the archive files): 

ICDAR2019-ArT
  |--- train_images
  |    |--- train_images
  |    |    |--- gt_0.jpg
  |    |    |--- gt_1.jpg
  |    |    |--- ...
  |--- train_labels.json

Data Preparation

For Detection Task

To prepare the data for text detection, you can run the following commands:

python tools/dataset_converters/convert.py \
    --dataset_name ic19_art --task det \
    --image_dir path/to/ICDAR2019-ArT/train_images/train_images/ \
    --label_dir path/to/ICDAR2019-ArT/train_labels.json \
    --output_path path/to/ICDAR2019-ArT/det_gt.txt

The generated standard annotation file det_gt.txt will now be placed under the folder ICDAR2019-ArT/.

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