| # 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 |
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| This dataset is compiled from samples taken from the following sources: |
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| - **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 |
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| **🌍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: |
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| ```python |
| from datasets import load_dataset |
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| ds = load_dataset("BatSilver/TextDetectionData") |
| ``` |
