README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: annotations
      struct:
        - name: polygons
          list:
            list: int32
        - name: texts
          list: string
  splits:
    - name: train
      num_bytes: 15232741472.28
      num_examples: 1544
  download_size: 15214355688
  dataset_size: 15232741472.28
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
task_categories:
  - object-detection
language:
  - km
tags:
  - TrorYongOCR
pretty_name: KhmerST

Disclaimer: This is not my dataset. I put it here to ease its use for Khmer Scene Text Detection and Recognition research.

KhmerST

This repository provides scene-text images from the KhmerST benchmark dataset.

---

✅ Credits / Citation

If you use this dataset, please cite the original KhmerST paper:

KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark
Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman, Mickaël Coustaty, Jean-Marc Ogier

📄 Paper: https://arxiv.org/pdf/2410.18277

You can use the bibtex below:

@inproceedings{nom2024khmerst,
  title={KhmerST: a low-resource khmer scene text detection and recognition benchmark},
  author={Nom, Vannkinh and Bakkali, Souhail and Luqman, Muhammad Muzzamil and Coustaty, Micka{\"e}l and Ogier, Jean-Marc},
  booktitle={Proceedings of the Asian Conference on Computer Vision},
  pages={1777--1792},
  year={2024}
}

Original dataset source:
https://gitlab.com/vannkinhnom123/khmerst

---

Dataset Description

KhmerST is the first Khmer scene-text dataset consisting of:

• 1,544 annotated images
  • 997 indoor scenes
  • 547 outdoor scenes
• Diverse conditions:
  • flat and raised text
  • low illumination
  • distant and partially occluded text
• Line-level text annotations
• Polygon bounding boxes

---

Dataset Format

Each sample contains the following columns:

Column	Type	Description
image	PIL Image	PIL Image object in RGB
annotations	dict	Dictionary of keys, polygons, and texts

polygons is a list of lists of 8 integers, each list of 8 integers, [x1, y1, x2, y2, x3, y3, x4, y4], corresponds to a polygon detected in the image.

texts is a list of texts, each is enclosed in a polygon.

The order of elements in polygons and texts are strict: the first text in texts is enclosed in the first polygon in polygons, and so on.

Example:

{'image': <PIL.Image.Image image mode=RGB size=2500x2445>,
 'annotations': {
    'polygons': [ # in format [x1, y1, x2, y2, x3, y3, x4, y4]
      [104, 538, 827, 628, 824, 749, 97, 670],
      [1227, 735, 1433, 733, 1435, 837, 1231, 843]
    ],
    'texts': ['បាយស្រូបបឋម មីស៊ុបបឋម', 'អេស៊ីលីដា']
  }
}

Usage

You can load the dataset with:

from datasets import load_dataset

ds = load_dataset("KrorngAI/KhmerST")
print(ds["train"][0])

Acknowledgment

All credit goes to the KhmerST dataset creators

Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman,
Mickaël Coustaty, and Jean-Marc Ogier.