A handwritten in-the-wild dataset for python

IMGUR5K-Handwriting-Dataset

IMGUR5K handwriting set. It is a handwritten in-the-wild dataset, which contains challenging real world handwritten samples from different writers.The dataset is shared as a set of image urls with annotations. This code downloads the images and verifies the hash to the image to avoid data contamination.

IMGUR5K Handwriting Dataset

To run the code for downloading the urls and generate corresponding annotations :

Usage: python download_imgur5k.py --dataset_info_dir <dir_with_annotaion_and_hashes> --output_dir <path_to_store_images>

Requirements

IMGUR5K download code works with

Python3

Downloading images of IMGUR5K

Run the command and set <path_to_store_images> to the target image directory

How IMGUR5K download works

The code checks the validity of urls by checking the hash of the url with the groundtruth md5 hash.
If the image is pristine, the annotations are added to the generated annotations file and the respective splits.

Full documentation

IMGUR5K is shared as a set of image urls with annotations. This code downloads
the images and verifies the hash to the image to avoid data contamination.

REQUIRED FILES:

download_imgur5k.py : Code to download the URLs for the dataset building.
<dataset_info_dir>/imgur5k_data.lst : File containing URLs with annotations and bounding box
<dataset_info_dir>/imgur5k_hashes.lst : File containins URL indexes with groundtruth md5 hash.
<dataset_info_dir>/train_index_ids.lst : File containins URL indexes belonging to train split.
<dataset_info_dir>/val_index_ids.lst : File containins URL indexes belonging to val split.
<dataset_info_dir>/test_index_ids.lst : File containins URL indexes belonging to test split.

Output:

<path_to_store_images>/<index>.jpg :
- Images dowloaded to output_dir
imgur5k_annotations.json :
- json file with image annotation mappings -> dowloaded to dataset_info_dir
  - Format: { "index_id" : {indexes}, "index_to_annotation_map" : { annotations ids for an index}, "annotation_id": { each annotation's info } }
  - Annotation ID: bounding_box in xywha format
  - Bounding boxes with '.' mean the annotations were not done for various reasons
imgur5k_annotations_train.json :
- json file with image annotation mappings of TRAIN split only -> dowloaded to dataset_info_dir
imgur5k_annotations_val.json :
- json file with image annotation mappings of VAL split only -> dowloaded to dataset_info_dir
imgur5k_annotations_test.json :
- json file with image annotation mappings of TEST split only -> dowloaded to dataset_info_dir

[All imgur5k_annotations_*.json's format is similar to the format of imgur5k_annotations.json]

NOTE:
Apart from the ~5K images employed in TextStyleBrush paper, ~4K more images are added to the dataset to foster the research in Handwritten Recognition.