The 1$^{\text{st}}$ 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 Maritime 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 at https://seadronessee.cs.uni-tuebingen.de/macvi.
翻译:1美元的海洋计算机远景(MaCVi)2023年海洋计算机远景(MaCVi)讲习班侧重于无人驾驶航空飞行器和无人驾驶水面飞行器(USV)的海洋计算机远景,并组织了该领域的若干次挑战:(一) 无人驾驶航空飞行器的海上物体探测,(二) 无人驾驶飞行器的海上物体追踪,(二) 无人驾驶飞行器的海上物体追踪,(三) 以美国V为基地的海上触角分割,(四) 以美国V为基地的海上触角探测,次级挑战以Seadrones See和MODS基准为基础,本报告总结了各分小组的主要调查结果,并介绍了新的基准,称为SeaDrones见物体探测,2,该基准扩大了以前的基准,增加了分类和录像,我们提供了统计和定性分析,评估了130多份划界案最佳方法的趋势,附录概述了这些方法,数据集、评价代码和领导板可公开查阅https://seadronesse.uni-tuebingen.de/macvii。