Add text detection dataset files

README.md

@@ -1,3 +1,62 @@
+# 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.
+
 ---
-license: mit
+
+## 📁 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.
+
 ---
+
+## 📚 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)
+
+---
+
+## 📊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) |
+
+---
+
+## 📊 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 |
+
+
+
+---
+
+# 🛠️ How to Use
+You can load the dataset using:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("Ejada/TextDetectionData")
+```