This episode dives into SpeciesNet, Google's open-source AI toolkit for wildlife camera-trap images. Learn how a detector filters animals, a classifier labels species, how geofencing and taxonomic roll-ups make predictions smarter, and how open-source users run it with GPUs (and the Windows quirk). We also explore real-world conservation impacts and how researchers gain near-real-time insights.

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