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 research team develop new workflow


Understanding deep-sea images with artificial intelligence: GEOMAR research team develops new workflow for image analysis

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The evaluation of very large amounts of data is becoming increasingly relevant in ocean research. Diving robots or autonomous underwater vehicles, which carry out measurements independently in the deep sea, can now record large quantities of high-resolution images. To evaluate these images scientifically in a sustainable manner, a number of prerequisites have to be fulfilled in data acquisition, curation and data management. "Over the past three years, we have developed a standardized workflow that makes it possible to scientifically evaluate large amounts of image data systematically and sustainably," explains Dr. Timm Schoening from the "Deep Sea Monitoring" working group headed by Prof. Dr. Jens Greinert at GEOMAR. The background to this was the project JPIOceans "Mining Impact." The ABYSS autonomous underwater vehicle was equipped with a new digital camera system to study the ecosystem around manganese nodules in the Pacific Ocean.