metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
task_categories:
  - image-to-text
language:
  - ar
tags:
  - OCR
  - 'Optical Character Recognition '
  - Arabic OCR
  - 'arabic '
  - ocr
  - Textline images
size_categories:
  - 1K<n<10K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Training
            '1': Validation
  splits:
    - name: train
      num_bytes: 19188705.2
      num_examples: 1400
    - name: validation
      num_bytes: 3038515
      num_examples: 233
  download_size: 14348228
  dataset_size: 22227220.2

KFUPM Handwritten Arabic TexT (KHATT) database

Version 1.0 (September 2012 Release)

The database contains handwritten Arabic text images and its ground-truth developed for research in the area of Arabic handwritten text. It contains the line images and their ground-truth. It was used for the pilot experimentation as reported in the paper: S. A. Mahmoud, I. Ahmad, M. Alshayeb, W. G. Al-Khatib, M. T. Parvez, G. A. Fink, V. Margner, and H. EL Abed, “KHATT: Arabic Offline Handwritten Text Database , In Proceedings of the 13th International Conference on Frontiers in Handwriting Recognition (ICFHR 2012), Bari, Italy, 2012, pp. 447-452, IEEE Computer Society.