metadata
language:
- ar
pretty_name: EvArEST dataset for Arabic scene text detection
tags:
- scene_text_detection
- scene_text_ocr
dataset_info:
features:
- name: image_bytes
dtype: image
- name: image_name
dtype: string
- name: image_width
dtype: int64
- name: image_height
dtype: int64
- name: instances
dtype: string
- name: full_text
dtype: string
splits:
- name: train
num_examples: 377
- name: test
num_examples: 133
license: bsd-3-clause
EvArEST
Everyday Arabic-English Scene Text dataset, from the paper: Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel Dataset
Detection Dataset
The text detection dataset has 510 images all containing one or more instances of text. Each word is annotated with a four-point polygon that starts with the top left corner of the polygon and follows clockwise. Each image comes with a text file containing three attributes: the four points of the polygon that contains the word, the language of the word.
Citation
If you find this dataset useful for your research, please cite
@article{hassan2021arabic,
title={Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel Dataset},
author={Hassan, Heba and El-Mahdy, Ahmed and Hussein, Mohamed E},
journal={IEEE Access},
year={2021},
publisher={IEEE}
}