node-red-contrib-oscar-fishdetector-async
Version:
Fish Detector Async node.
3 lines • 644 B
Markdown
OBSEA Fish DETECTOR
The OBSEA is an underwater observatory that has been acquiring multiparametric\n data since 2009. Over the years, various cameras have been deployed, resulting in a vast archive of pictures dating back to 2011. Historically, this data has been manually analyzed to extract ecological information \n about the fish community in the area, a process that is both time-consuming and repetitive.
In this application, we employed an AI-based fish detection and classification algorithm, leveraging YOLOv8, to automate this process. The model has been\n finetuned to detect and classify fish at the OBSEA underwater observatory.