Marine Obstacle Detection Dataset

Overview

This dataset contains marine videos, captured by unmanned surface vehicle (USV). The challenge, posed by this dataset, is to segment each image into three natural regions: the sky, the shore and the sea, and furthermore, detect obstacles in the sea area.

This page includes:

Supplementary material

Here is a link to the page containing supplementary material for the paper in which the dataset was published. The page also contains a video of the USV.

The semantic segmentation model

This is a Matlab demo code for the semantic segmentation model for obstacle image map estimation for unmanned surface vehicles. The demo requires downloading the MOD dataset and has pretrained hiperparameters on the MOD dataset.

Citing the dataset

If you use the MODD dataset, please cite the following paper in which the dataset was originally published in the form described here.