An AI Software Able To Detect And Count Plastic Waste In The Ocean
It is both very clever and simple and you could use this same model for many image classification applications. FMMLs Odei Garcia-Garin et al. from the University of Barcelona have developed a deep learning-based algorithm able to detect and quantify floating garbage from aerial images. They also made a web-oriented application allowing users to identify these garbages, called floating marine macro-litter, or FMML, within images of the sea surface. Floating marine macro-litter is any persistent, manufactured, or processed solid material lost or abandoned in a marine compartment. As you most certainly know, these plastic wastes are dangerous for fish, turtles,…
Share