A photo of the lab bench showing the full setup for digitalising zooplankton samples (from sieving and sub-sampling to plate preparation, scanning, and computer processing
#AI4Oceans #MarineBiodiversity #OceanMonitoring
π₯ Hereβs ZooImage in action: segmenting and measuring zooplankton from scanned samples β part of a 40+ year time series from Norwegian fjords.
@ribas-deulofeu.bsky.social visited @azti.bsky.social to help build AI tools for faster biodiversity monitoring.
#BioBoostPlus #AI4Oceans #Zooplankton
π‘ Using RoboFlow to ID key species like Axinella cannabina (crucial to Mediterranean benthic ecosystems) from ROV footage in Torre Guaceto (Italy).
Tech meets conservation under the sea!
π₯ Marine Ecology Lab, Univ. of Naples Federico II
#ROV #AI4Oceans #MarineScience #BioBoostPlus #Sponges
Testing a YOLO-based computer vision model to ID 13 benthic species from underwater images. It boosts automated species recognition, aiding large-scale biodiversity monitoring & better marine conservation. @azti.bsky.social
#AI4Oceans #BenthicEcology #MarineScience #BioBoost+