TY - GEN
T1 - UOW-Vessel
T2 - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024
AU - Bui, Ly
AU - Phung, Son Lam
AU - Di, Yang
AU - Le, Hoang Thanh
AU - Nguyen, Tran Thanh Phong
AU - Burden, Sandy
AU - Bouzerdoum, Abdesselam
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/3
Y1 - 2024/1/3
N2 - 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.
AB - 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.
KW - Remote-sensing images
KW - Shape
KW - Ship detection
UR - https://www.scopus.com/pages/publications/85191949266
U2 - 10.1109/WACV57701.2024.00437
DO - 10.1109/WACV57701.2024.00437
M3 - Conference contribution
AN - SCOPUS:85191949266
SN - 979-8-3503-1893-7
T3 - Ieee Winter Conference On Applications Of Computer Vision
SP - 4416
EP - 4424
BT - 2024 Ieee/cvf Winter Conference On Applications Of Computer Vision, Wacv 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 January 2024 through 8 January 2024
ER -