Document Corner Localization Dataset

Welcome to the Document Corner Localization Dataset repository! This dataset is designed for researchers and practitioners interested in advancing the field of document analysis and corner localization.

Research Paper

If you are interested in the details of the dataset and the methodologies employed, you can access the full-text paper titled "A New Image Dataset for Document Corner Localization" using the following links:

• DOI: 10.1109/MVIP49855.2020.9116896

Dataset Download

To obtain the dataset files and start your exploration, visit our Mendeley dataset repository:

• Mendeley Dataset Repository

How to Use Dataset

1. Download the dataset files from the provided Mendeley link.

2. Extract the dataset files to your desired location.

3. Explore and analyze the dataset to enhance your understanding of document corner localization.

Citation

If you use this dataset or refer to the research paper in your work, please consider citing:

S. B. Dizaj, M. Soheili and A. Mansouri, "A New Image Dataset for Document Corner Localization," 2020 International Conference on Machine Vision and Image Processing (MVIP), Iran, 2020, pp. 1-4, doi: 10.1109/MVIP49855.2020.9116896.

or

{
"author": "S. B. Dizaj and M. Soheili and A. Mansouri",
"title": "A New Image Dataset for Document Corner Localization",
"conference": "2020 International Conference on Machine Vision and Image Processing (MVIP)",
"location": "Iran",
"year": 2020,
"pages": "1-4",
"doi": "10.1109/MVIP49855.2020.9116896"
}

U-Net Implementation for Testing

For those interested in testing the dataset using a U-Net neural network, we provide a sample implementation. You can find the code in this repository.