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by @danabra.mov
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by @danabra.mov
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by @jimpick.com
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by @atsui.org
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Detecting pollinators with AI isn't as easy as people say πŸ”ŽπŸ Studies show high scores on one dataset πŸ“ˆ then imply the model is useful elsewhere πŸ€₯ @veralis.bsky.social & co. don't board the AI hype train πŸ€–πŸš† They expose real challenges when deploying GBIF-trained AI for pollinator surveillance 🐞πŸͺ°πŸ‘
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Jamie Alison
Apr 13, 2025
Our latest research explores how YOLO object detectors, trained on citizen science images, perform on unseen time-lapse images of pollinators captured with a fixed smartphone setup. While successful for larger pollinators, detecting smaller or blurrier flower visitors remains a challenge.
Valentin Ștefan