UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and Segmentation
Publication Name
Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024
Abstract
In this paper, we introduce UOW-Vessel, a benchmark dataset of high-resolution optical satellite images for vessel detection and segmentation. Our dataset consists of 3,500 images, collected from 14 countries across 4 continents. With a total of 35,598 instances in 10 vessel categories, UOW-Vessel is to date the largest satellite image dataset for vessel recognition. Furthermore, compared to the existing public datasets that only provide bounding box ground-truth, our new dataset offers more accurate polygon annotations of vessel objects. This dataset is expected to support instance segmentation-based approaches, which is a less investigated area in vessel surveillance. We also report extensive evaluations of the recent algorithms for instance segmentation on the new benchmark dataset.
Open Access Status
This publication is not available as open access
First Page
4416
Last Page
4424
Funding Number
SRN-PILOT-2022-03