Logo Github SeaDronesSee MaCVi                   Logo

MaCVi '23

1st Workshop on Maritime Computer Vision (MaCVi)

An integral part of the workshop are the four challenges UAV Object Detection & Tracking and USV Obstacle Segmentation & Detection. These challenges aim to foster the development of computer vision algorithms in SaR missions and autonomous boat navigation, respectively. The UAV Object Detection & Tracking challenge is mainly based on an updated version of SeaDronesSee whereas the USV Obstacle Segmentation & Detection is based on the MODS benchmark. The focus of all challenges will be on accuracy (algorithm performance as measured by challenge-specific evaluation metrics), but require participants to submit the processing speed of their algorithms in frames per second, and specification of the hardware used.

The best three teams of each (sub-)track will be featured as co-authors in a challenge summary workshop proceeding (included in IEEE Xplore) upon submitting a short technical report (half page) describing their method. We reserve the right to cancel a subchallenge if less than four separate teams (no collusion allowed) participate. Note the short deadline for the technical report.


Challenges Overview

UAV Object Detection v2

Detect humans, boats and others in a search and rescue scenario from the viewpoint of a UAV
UAV Multi-Object Tracking

Track detected objects in a search and rescue scenario from the viewpoint of a UAV
USV Obstacle Segmentation

Segment a maritime image from the viewpoint of a USV into three components (water, obstacle, sky)
USV Obstacle Detection

Detect dynamic obstacles like ships, swimmers, boats and buoys on a maritime image from the viewpoint of a USV