Results 11 to 20 of about 1,866,820 (291)
Virtual Underwater Datasets for Autonomous Inspections
Journal of Marine Science and Engineering, 2022 Underwater Vehicles have become more sophisticated, driven by the off-shore sector and the scientific community’s rapid advancements in underwater operations.
Ioannis Polymenis +3 more
doaj +4 more sources
An Underwater Image Enhancement Benchmark Dataset and Beyond [PDF]
IEEE Transactions on Image Processing, 2019 Underwater image enhancement has been attracting much attention due to its significance in marine engineering and aquatic robotics. Numerous underwater image enhancement algorithms have been proposed in the last few years.
Chongyi Li +6 more
semanticscholar +5 more sources
AQUALOC: An underwater dataset for visual–inertial–pressure localization [PDF]
The International Journal of Robotics Research, 2019 We present a new dataset, dedicated to the development of simultaneous localization and mapping methods for underwater vehicles navigating close to the seabed.
Maxime Ferrera +3 more
semanticscholar +4 more sources
Autonomous underwater vehicle fault diagnosis dataset
Data in Brief, 2021 The dataset contains 1225 data samples for 5 fault types (labels). We divided the dataset into the training set and the test set through random stratified sampling. The test set accounted for 20% of the total dataset. Our experimental subject is ‘Haizhe’,
Daxiong Ji +4 more
doaj +3 more sources
Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN [PDF]
IEEE Journal of Oceanic Engineering, 2022 Current state-of-the-art object tracking methods have largely benefited from the public availability of numerous benchmark datasets. However, the focus has been on open-air imagery and much less on underwater visual data. Inherent underwater distortions,
K. Panetta +3 more
semanticscholar +2 more sources
CSUID – Comprehensive synthetic underwater image dataset
Data in BriefThe underwater environment is characterized by complex light traversal, encompassing effects such as color loss, contrast loss, water distortion, backscatter, light attenuation, and color cast, which vary depending on water purity, depth, and other ...
Kuruma Purnima, C. Siva Kumar
doaj +3 more sources
Underwater AUV Navigation Dataset in Natural Scenarios
Electronics, 2023 Autonomous underwater vehicles (AUVs) are extensively utilized in various autonomous underwater missions, encompassing ocean environment monitoring, underwater searching, and geological exploration.
C. Wang +4 more
semanticscholar +2 more sources
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark [PDF]
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 In this paper, we present the first large-scale dataset for semantic Segmentation of Underwater IMagery (SUIM). It contains over 1500 images with pixel annotations for eight object categories: fish (vertebrates), reefs (invertebrates), aquatic plants ...
M. Islam +7 more
semanticscholar +4 more sources
WaterPairs: a paired dataset for underwater image enhancement and underwater object detection
Intelligent Marine Technology and SystemsDue to its importance in marine engineering and aquatic robotics, underwater image enhancement works as a preprocessing step to improve the performance of high-level vision tasks such as underwater object detection and recognition.
Long Chen +3 more
semanticscholar +2 more sources
Sensors, 2021 As one of the key requirements for underwater exploration, underwater depth map estimation is of great importance in underwater vision research. Although significant progress has been achieved in the fields of image-to-image translation and depth map ...
Qi Zhao +3 more
doaj +1 more source