Automated fish tracking for aquatic conservation

In a new paper published in Ecology and Evolution, we showed that automated fish tracking in underwater ecosystems is possible. With a 91% fish detection accuracy and 84% tracking accuracy, our pipeline can track many individuals across visibility gradients.