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61970f5 e154cc9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | # Text Detection Dataset
This dataset is a comprehensive collection of Arabic and English text detection samples designed for benchmarking and evaluating text detection models. The dataset combines samples from multiple open-source datasets to provide diverse text detection challenges across different domains, scripts, and image conditions.
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## 📁 Dataset Structure
- Images are stored in .jpg format in the "Text Detection Images" folder
- Accompanied by a CSV file (textdetectionannotations.csv) with bounding box coordinates and image characteristics.
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## 📚 Data Sources and Attribution
This dataset is compiled from samples taken from the following sources:
- **SROIE Dataset v2**: Scene text detection samples from [Kaggle - urbikn](https://www.kaggle.com/datasets/urbikn/sroie-datasetv2)
- **ICDAR2013**: International Conference on Document Analysis and Recognition 2013 dataset samples
- **EvArEST Dataset**: Arabic scene text samples from [HGamal11/EvArEST-dataset-for-Arabic-scene-text](https://github.com/HGamal11/EvArEST-dataset-for-Arabic-scene-text)
- **Arabic Documents OCR Dataset**: Document text detection samples from [Kaggle - humansintheloop](https://www.kaggle.com/datasets/humansintheloop/arabic-documents-ocr-dataset/data)
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## 📊Dataset Statistics
| Metric | Value |
|----------------|----------------------------------------|
| Total Images | 725 |
| Languages | English and Arabic |
| Image Format | `.jpg` |
| Annotation Type| Bounding Box Coordinates in Polygon format |
| Source Datasets| 4 (SROIE, ICDAR2013, EvArEST, Arabic Documents OCR) |
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## 📊 Data Insights
**🌍Dataset Characteristics**
| Characteristic | Values |
|----------------|----------------------------------------|
| Dataset Name | SROIE, ICDAR2013, EvArEST, Arabic Documents OCR |
| Image Category | receipt, scene_text|
| Language | Arabic, English |
| Image Quality
| - Blurry | True, False |
| - Noisy | True, False |
| - Rotated | True, False |
| Contrast Level | low, medium, high |
| Brightness Level | low, medium, high |
| Resolution Category | low, medium, high |
| Complexity Level | low, medium, high |
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# 🛠️ How to Use
You can load the dataset using:
```python
from datasets import load_dataset
ds = load_dataset("BatSilver/TextDetectionData")
``` |