Leaping into the future: Current application and future direction of computer vision and artificial intelligence in marine sciences in South Africa

Charlene da Silva, T. Samaai, S. Kerwath, Luther Adams, Katie M Watson, Anthony Bernard, Grant van der Heever, Andrea Angel, Stefan Schoombie, Guilherme Frainer, Mari-Lisa Franken, Adam Rees, Angus Paterson
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Abstract

The inaugural Computer Vision for Marine Scientists workshop was held at the 17th South African Marine Science Symposium, with the primary goal of establishing a community of practice for computer vision (CV) in marine sciences in South Africa. The one-day hybrid event, attended by 97 people, covered the principles of artificial intelligence (AI) techniques required for evaluating video and photographic imagery through presentations, practical demonstrations and interactive discussions. The recordings of the workshop sessions are available online, providing an opportunity to reach marine researchers both regionally and globally. The workshop highlighted that many scientists have begun to incorporate CV and AI into their research activities; however, there is little national coordination and the extent of research is lagging behind international trends. To support image-based AI research in South Africa, it is critical to maintain and expand the network established during the workshop. This would enable a more collaborative and successful approach to incorporating CV technology in the country's marine research initiatives, ultimately leading to ground-breaking discoveries and advancements in the field.
跃向未来:计算机视觉和人工智能在南非海洋科学中的当前应用和未来方向
首届海洋科学家计算机视觉研讨会在第 17 届南非海洋科学研讨会上举行,其主要目标是在南非建立一个海洋科学计算机视觉(CV)实践社区。这次为期一天的混合活动有 97 人参加,通过演讲、实际演示和互动讨论,介绍了评估视频和摄影图像所需的人工智能 (AI) 技术原理。研讨会课程的录音可在网上获取,为该地区和全球的海洋研究人员提供了一个机会。研讨会强调,许多科学家已开始将履历和人工智能纳入他们的研究活动;然而,国家协调很少,研究程度落后于国际趋势。为了支持南非基于图像的人工智能研究,保持和扩大研讨会期间建立的网络至关重要。这将有助于以更加协作和成功的方式将 CV 技术纳入该国的海洋研究计划,最终促成该领域的突破性发现和进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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