README.md

metadata

license: mit
language:
  - km
task_categories:
  - image-to-text
tags:
  - ocr
  - khmer-ocr
  - benchmark
  - synthetic
pretty_name: Khmer Printed Words
size_categories:
  - 1K<n<10K

Khmer Printed Words

5,000 synthetic images of short, isolated Khmer words in 10 fonts, with their text. Most training lines are mid-to-long, so this set tests short input.

It is the "Printed Words" test set in the Netra OCR results, which use its first 500 lines.

Column
image	the word image
label	its text
file_name	the original file name

Use

from datasets import load_dataset
ds = load_dataset("Netra-Lab/khmer-printed-words", split="train")

With the Netra OCR repository, the printed-words preset scores any model on it:

bash training/evaluate.sh published --test printed-words
bash training/evaluate.sh published --test Netra-Lab/khmer-printed-words:train[:500]   # as in the results

License

MIT. Made by Netra Lab.