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.