Architectural Object Detection Computer Vision Project
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Modifications for Tutorial Purposes:
Image Format: Images have been converted from '.tiff' to '.png'. Directories: Images are located in the /images directory. Annotations can be found in the /annotations directory. Annotation Format: Annotations are now in multiple VOC XML format files.
About Dataset SESYD "Systems Evaluation SYnthetic Documents" is a database of synthetical documents with groundtruth. This database targets two main research problems in the document image analysis field (i) symbol recognition and spotting in line drawing images (floorplans and electrical diagrams) (ii) character segmentation and recognition in geographical maps. The database is composed of eleven collections for performance evaluation containing 284k images, 190k symbols and 284k characters (k for thousand). SESYD is today a key database in the document image analysis field published in 2010 and referred by one hundred of citations into research papers.
Please, cite the following paper [1] if you are using this database. [1] M. Delalandre, E. Valveny, T. Pridmore and D. Karatzas. Generation of Synthetic Documents for Performance Evaluation of Symbol Recognition & Spotting Systems. International Journal on Document Analysis and Recognition (IJDAR), 13(3):187-207, 2010. http://mathieu.delalandre.free.fr/publications/IJDAR2010.pdf
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
architectural-object-detection_dataset,
title = { Architectural Object Detection Dataset },
type = { Open Source Dataset },
author = { ObjectDetectplan },
howpublished = { \url{ https://universe.roboflow.com/objectdetectplan/architectural-object-detection } },
url = { https://universe.roboflow.com/objectdetectplan/architectural-object-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-11-14 },
}