Marine Obstacle Detection Dataset
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:
- Marine Obstacle Detection Dataset (MODD)
- Matlab routines and demo for automatic performance evaluation. See readme for usage.
- Videos for ground truth visualization.
- A reference Matlab implementation of the Semantic segmentation model.
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.