SiMo-Fish: Aerial Imagery Dataset for Behavioral Analysis of Flathead Grey Mullet (Mugil cephalus)

The SiMo-Fish aerial image dataset has been selected and annotated to facilitate the training and validation of artificial intelligence models. For example, it is used to recognize and segment the flathead Grey Mullet (Mugil cephalus). As a basis, this dataset enables the creation of automated monitoring systems that enable the accurate identification, counting, and behavioral description of fish populations in captivity. The primary objective of this research is to develop computer vision software that serves as reliable, non-invasive identifier of individual fish which can be used in further studies or assessments of behaviour. By automatically acquiring quantitative values ​​and behavioral patterns, SiMo-Fish supports precision aquaculture, promotes ethical fish management, and promotes non-invasive monitoring.SiMo-Fish航拍图像数据集（SiMo-Fish aerial image dataset）经筛选与标注，旨在为人工智能模型的训练与验证提供支撑。例如，该数据集可用于识别与分割鲻鱼（Mugil cephalus）。作为核心支撑，该数据集可助力搭建自动化监测系统，实现对圈养鱼类种群的精准识别、计数及行为描述。 本研究的核心目标是开发计算机视觉软件，作为可靠的非侵入式鱼类个体识别工具，可应用于后续的鱼类行为研究与评估。通过自动获取鱼类的量化参数与行为模式，SiMo-Fish数据集可助力精准水产养殖，推动伦理化鱼类管理，并促进非侵入式监测技术的推广。