Underwater Camouflage Object Detection Dataset
Feng Dong, Jinchao Zhu
TL;DR
This paper introduces the UW-RS dataset, a comprehensive collection of underwater optical and sonar images designed for camouflage object detection in complex seabed environments.
Contribution
It provides a new, publicly available dataset combining optical and sonar data specifically for underwater camouflage detection tasks.
Findings
The dataset contains 1972 images covering diverse seabed scenes.
It enables research on multi-modal underwater object detection.
The dataset supports development of robust algorithms for underwater camouflage detection.
Abstract
We have made a dataset of camouflage object detection mainly for complex seabed scenes, and named it UnderWater RGB&Sonar,or UW-RS for short. The UW-RS dataset contains a total of 1972 image data. The dataset mainly consists of two parts, namely underwater optical data part (UW-R dataset) and underwater sonar data part (UW-S dataset).
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUnderwater Acoustics Research · Image Enhancement Techniques · Underwater Vehicles and Communication Systems