The OUC-vision large-scale underwater image database | IEEE Conference Publication | IEEE Xplore

The OUC-vision large-scale underwater image database


Abstract:

In this paper, a large-scale underwater image database for underwater salient object detection or saliency detection is presented in detail. This database is called the O...Show More

Abstract:

In this paper, a large-scale underwater image database for underwater salient object detection or saliency detection is presented in detail. This database is called the OUC-VISION underwater image database, which contains 4400 underwater images of 220 individual objects. Each object is captured with four pose variations (the frontal-, the opposite-, the left-, and the right-views of each underwater object) and five spatial locations (the underwater object is located at the top-left corner, the top-right corner, the center, the bottom-left corner, and the bottom-right corner) to obtain 20 images. Meanwhile, this publicly available OUC-VISION database also provides relevant industrial fields, and academic researchers with underwater images under different sources of variations, especially pose, spatial location, illumination, turbidity of water, etc. Ground-truth information is also manually labelled for this database. The OUC-VISION database can not only be widely used to assess and evaluate the performance of the state-of-the-art salient-object detection and saliency-detection algorithms for general images, but also will particularly benefit the development of underwater vision technology in the future.
Date of Conference: 10-14 July 2017
Date Added to IEEE Xplore: 31 August 2017
ISBN Information:
Electronic ISSN: 1945-788X
Conference Location: Hong Kong, China

Contact IEEE to Subscribe

References

References is not available for this document.