Where wild things roam: Identifying wildlife with SpeciesNet
Google Research
Google released SpeciesNet, an open-source AI model that identifies nearly 2,500 animal species in camera trap images, trained on 65 million labeled images. The model achieves 99.4% accuracy in detecting animals and 83% accuracy in species classification, processing up to 250,000 images daily on a gaming GPU. Research groups worldwide now use SpeciesNet to analyze millions of wildlife images for conservation, with projects in Colombia, Australia, Idaho, and Tanzania reducing manual identification work from decades to days.
Why it matters
Climate & Sustainability
