TextOCR Dataset¶

Data Downloading¶

The TextOCR dataset Official Website | Download Link

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

TextOCR
  |--- train_val_images
  |    |--- <image_name>.jpg
  |    |--- <image_name>.jpg
  |    |--- ...
  |--- TextOCR_0.1_train.json
  |--- TextOCR_0.1_val.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 textocr --task det \
    --image_dir path/to/TextOCR/train_val_images/ \
    --label_dir path/to/TextOCR/TextOCR_0.1_train.json \
    --output_path path/to/TextOCR/det_gt.txt

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

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