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Ocean plastic pollution is a major environmental issue, and current detection methods are labor-intensive and inefficient. To address this, researchers have been developing artificial intelligence and computer vision approaches that make use of deep-learning algorithms. These innovations have the potential to enable more frequent detection over wider areas, but they are still constrained by a lack of algorithm training data and other field constraints.
