SUN (Showa University and Nagoya University) Colonoscopy Video Database is the colonoscopy-video database for the evaluation of an automated colorectal-polyp detection. The database comprises of still images of videos, which are collected at the Showa University Northern Yokohama Hospital. Mori Laboratory, Graduate School of Informatics, Nagoya University developed this database. Every frame in the database was annotated by the expert endoscopists at Showa University.

The SUN database includes 49,136 polyp frames taken from different 100 polyps, which were fully annotated with bounding boxes. Non-polyp scenes of 109,554 frames are also included in this database. The characteristics of the database are summarized in Tables 1-3.

In polyp-exsiting frames, each polyp is annotated with a bounding box as shown in Figure 1. The file formats of images, and bounding boxes are jpeg and a text file, respectively. In the text file, each row represents a bounding box of a polyp, that is, "Fielename min_Xcoordinate,min_Ycoordinate,max_Xcorrdinate,max_Ycoordinate,class_id", where class_id of 0 and 1 represent polyp and non-polyp frames, respectively. Here are an examples:

All intellectual property rights, including copyrights, relating to the information contained in this database are held by Showa University Northern Yokohama Hospital and Mori Lab., Graduate School of Informatics, Nagoya University.

This database is available for only non-commercial use in research or educational purpose. As long as you use the database for these purposes, you can edit or process images and annotations in this database. Without permission from Mori Lab., commercial use of this dataset is prohibited even after copying, editing, processing or any operations of this database. Please contact us for commercial use or if you are uncertain about the decision.

If you clearly indicate the following information, you are allowed to refer to or cite the part of this database. By downloading and using the SUN database you agree to cite this database in any publication based on research in which this database has been used.

• Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video). Masashi Misawa, Shin-ei Kudo, Yuichi Mori, Kinichi Hotta, Kazuo Ohtsuka, Takahisa Matsuda, Shoichi Saito, Toyoki Kudo, Toshiyuki Baba, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori, Gastrointestinal Endoscopy, Vol. 93, Issue 4, pp. 960-967.e3, 2021. DOI: 10.1016/j.gie.2020.07.060
• SUN Colonoscopy Video Database. Hayato Itoh, Masashi Misawa, Yuichi Mori, Masahiro Oda, Shin-Ei Kudo, Kensaku Mori, 2020, http://amed8k.sundatabase.org/

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