IEEE UV 2022 “Vision Meets Algae” Object Detection Challenge

第一届国际“Vision Meets Algae”比赛和研讨会2022将与IEEE UV 2022新型智慧城市国际会议同时举行。该研讨会的重点是使用计算机视觉技术进行藻类研究。海洋微藻可以利用太阳能和溶解二氧化碳生长，并通过光合作用产生氧气和碳水化合物。健康的藻类生长对于海洋中各种海洋生态系统的繁荣以及碳捕获、碳利用和碳储存至关重要。此外，微藻的种类和数量被广泛用作海洋生态环境监测和全球水质评估的指标。例如，共生菌科与其宿主珊瑚有着不可分割的联系，二者的生存状态也影响水生环境。共生菌科的多样性也与珊瑚的热适应性有潜在的关系。监测并确定海洋微藻的健康状况，需集成硬件和软件，以实现实时藻类图像采集，数据分析和特征提取。与目前专业水平要求高、耗时长的人工微藻识别相比，采用机器学习方法进行自动海洋微藻识别可以满足快速监测的需要，为海洋与环境科学的研究提供便利。作为分类和定位的联合任务，目标检测可以为结合生物形态特征的藻类识别提供帮助。作为分类和定位的联合任务，目标检测可以为基于图像信息结合生物形态特征的藻类识别提供帮助。第一届国际“Vision Meets Algae”研讨会和比赛（VisAlgae）是2022年第6届IEEE UV新型智慧城市国际会议的一部分。它旨在鼓励参与者关注海洋环境和海洋生物，并使用计算机视觉方法来更好地监测海洋生物。比赛的任务是开发一种目标检测算法，以检测所获得的显微镜图像中的8类微藻（6类不同的藻类和一种藻类的三种不同状态）（Bacillariophyta, Chlorella pyrenoidosa, Platymonas, Dunaliella salina, Chrysophyta, Normal Symbiodiniacea, Translating Symbiodiniacea and Bleaching Symbiodiniacea）

The 1st International "Vision Meets Algae" Competition and Workshop 2022 will be held in conjunction with the 2022 IEEE UV International Conference on New Smart Cities. This workshop focuses on algae research using computer vision technologies. Marine microalgae can grow using solar energy and dissolved carbon dioxide, and produce oxygen and carbohydrates via photosynthesis. Healthy algal growth is crucial for the prosperity of various marine ecosystems, as well as carbon capture, carbon utilization and carbon storage. Additionally, the species and quantity of microalgae are widely used as indicators for marine ecological environment monitoring and global water quality assessment. For instance, Symbiodiniaceae have an inseparable relationship with their host corals, and the survival status of both affects the aquatic environment. The diversity of Symbiodiniaceae also has a potential correlation with the thermal adaptability of corals. Monitoring and determining the health status of marine microalgae requires the integration of hardware and software to achieve real-time algal image acquisition, data analysis and feature extraction. Compared with the current manual microalgae identification, which requires high professional expertise and is time-consuming, automatic marine microalgae identification using machine learning methods can meet the requirements of rapid monitoring and facilitate research in marine and environmental sciences. As a joint task of classification and localization, object detection can provide assistance for algal identification that integrates biological morphological features. As a joint task of classification and localization, object detection can provide assistance for algal identification that integrates biological morphological features based on image information. The 1st International "Vision Meets Algae" Workshop and Competition (VisAlgae) is part of the 6th 2022 IEEE UV International Conference on New Smart Cities. It aims to encourage participants to pay attention to marine environments and marine organisms, and use computer vision methods to better monitor marine organisms. The competition task is to develop an object detection algorithm for detecting 8 categories of microalgae (6 distinct algal species and 3 different states of one algal species) in the obtained microscopic images: Bacillariophyta, Chlorella pyrenoidosa, Platymonas, Dunaliella salina, Chrysophyta, Normal Symbiodiniacea, Translating Symbiodiniacea, and Bleaching Symbiodiniacea.

搜集汇总

背景与挑战

背景概述

该数据集源于IEEE UV 2022 "Vision Meets Algae"目标检测挑战赛，旨在通过计算机视觉方法监测海洋微藻，以支持海洋环境研究。数据集包含显微镜图像，用于检测8类微藻（包括6种不同藻类和一种藻类的三种状态），提供128张训练图像以开发目标检测算法。