1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Paper in proceedings (conference paper)

The 1 st Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Mar-itime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection. The subchallenges were based on the SeaDronesSee and MODS benchmarks. This report summarizes the main findings of the individual subchallenges and introduces a new benchmark, called SeaDronesSee Object Detection v2, which extends the previous benchmark by including more classes and footage. We provide statistical and qualitative analyses, and assess trends in the best-performing methodologies of over 130 submissions. The methods are summarized in the appendix. The datasets, evaluation code and the leaderboard are publicly available (https://seadronessee.cs.uni-tuebingen.de/macvi).

The 1 st Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Mar-itime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection. The subchallenges were based on the SeaDronesSee and MODS benchmarks. This report summarizes the main findings of the individual subchallenges and introduces a new benchmark, called SeaDronesSee Object Detection v2, which extends the previous benchmark by including more classes and footage. We provide statistical and qualitative analyses, and assess trends in the best-performing methodologies of over 130 submissions. The methods are summarized in the appendix. The datasets, evaluation code and the leaderboard are publicly available (https://seadronessee.cs.uni-tuebingen.de/macvi).

Training, Computer vision, Conferences, Object detection, Detectors, Benchmark testing, Autonomous aerial vehicles

Training, Computer vision, Conferences, Object detection, Detectors, Benchmark testing, Autonomous aerial vehicles

KIEFER, B.; BARTL, V.; ŠPAŇHEL, J.; HEROUT, A.; YANG, M., et al.

2025

03.01.2023

Institute of Electrical and Electronics Engineers

Waikoloa, Hawaii

979-8-3503-2056-5

2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

265

302

38

https://ieeexplore.ieee.org/document/10031200