---
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](https://ieeexplore.ieee.org/abstract/document/9499028)

### 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.  

![alt text](https://github.com/HGamal11/EvArEST-dataset/blob/main/DetEx.png?raw=true)

[Training Data](https://drive.google.com/file/d/1a1Jf12nyIDswunky5kLM4JishRj2_4Jy/view?usp=sharing)

[Test Data](https://drive.google.com/file/d/15jWxmZb9zoKHys40Cuz-57kV2PTO-cvH/view?usp=sharing)


### 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}
}
```