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
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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