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---
license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
- object-detection
language:
- en
tags:
- code
- legal
- finance
---
# OCR Text Detection in the Documents Object Detection dataset
The dataset is a collection of images that have been annotated with the location of text in the document. The dataset is specifically curated for text detection and recognition tasks in documents such as scanned papers, forms, invoices, and handwritten notes.
The dataset contains a variety of document types, including different *layouts, font sizes, and styles*. The images come from diverse sources, ensuring a representative collection of document styles and quality. Each image in the dataset is accompanied by bounding box annotations that outline the exact location of the text within the document.
# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-text-detection-in-the-documents)** to buy the dataset
The Text Detection in the Documents dataset provides an invaluable resource for developing and testing algorithms for text extraction, recognition, and analysis. It enables researchers to explore and innovate in various applications, including *optical character recognition (OCR), information extraction, and document understanding*.
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# Dataset structure
- **images** - contains of original images of documents
- **boxes** - includes bounding box labeling for the original images
- **annotations.xml** - contains coordinates of the bounding boxes and labels, created for the original photo
# Data Format
Each image from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes and labels for text detection. For each point, the x and y coordinates are provided.
### Labels for the text:
- **"Text Title"** - corresponds to titles, the box is **red**
- **"Text Paragraph"** - corresponds to paragraphs of text, the box is **blue**
- **"Table"** - corresponds to the table, the box is **green**
- **"Handwritten"** - corresponds to handwritten text, the box is **purple**
# Example of XML file structure
# Text Detection in the Documents might be made in accordance with your requirements.
# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-text-detection-in-the-documents)** to discuss your requirements, learn about the price and buy the dataset
## **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-text-detection-in-the-documents)** provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
*keywords: text detection, text recognition, optical character recognition, document text recognition, document text detection, detecting text-lines, object detection, scanned documents, deep-text-recognition, text area detection, text extraction, images dataset, image-to-text* |