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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

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πŸŽ₯ Here’s 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

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🟑 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!

πŸŽ₯ Marine Ecology Lab, Univ. of Naples Federico II

#ROV #AI4Oceans #MarineScience #BioBoostPlus #Sponges

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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+

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