KOLOMVERSE: KRISO open large-scale image dataset for object detection in the maritime universe

by   Abhilasha Nanda, et al.

Over the years, datasets have been developed for various object detection tasks. Object detection in the maritime domain is essential for the safety and navigation of ships. However, there is still a lack of publicly available large-scale datasets in the maritime domain. To overcome this challenge, we present KOLOMVERSE, an open large-scale image dataset for object detection in the maritime domain by KRISO (Korea Research Institute of Ships and Ocean Engineering). We collected 5,845 hours of video data captured from 21 territorial waters of South Korea. Through an elaborate data quality assessment process, we gathered around 2,151,470 4K resolution images from the video data. This dataset considers various environments: weather, time, illumination, occlusion, viewpoint, background, wind speed, and visibility. The KOLOMVERSE consists of five classes (ship, buoy, fishnet buoy, lighthouse and wind farm) for maritime object detection. The dataset has images of 3840×2160 pixels and to our knowledge, it is by far the largest publicly available dataset for object detection in the maritime domain. We performed object detection experiments and evaluated our dataset on several pre-trained state-of-the-art architectures to show the effectiveness and usefulness of our dataset. The dataset is available at: <https://github.com/MaritimeDataset/KOLOMVERSE>.


page 2

page 5

page 6

page 8

page 12

page 13


TJU-DHD: A Diverse High-Resolution Dataset for Object Detection

Vehicles, pedestrians, and riders are the most important and interesting...

Million-scale Object Detection with Large Vision Model

Over the past few years, developing a broad, universal, and general-purp...

ABOShips – An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations

Availability of domain-specific datasets is an essential problem in obje...

A real-time material breakage detection for offshore wind turbines based on improved neural network algorithm

The integrity of offshore wind turbines, pivotal for sustainable energy ...

SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition

Object detection and instance recognition play a central role in many AI...

Applied Deep Learning to Identify and Localize Polyps from Endoscopic Images

Deep learning based neural networks have gained popularity for a variety...

Please sign up or login with your details

Forgot password? Click here to reset