Google has unveiled SpeciesNet, an open-source AI model specifically designed to identify various animal species through camera trap images. This initiative is part of Wildlife Insights created by Google Earth Outreach, aimed at accelerating wildlife data analysis, traditionally a time-consuming task for researchers. SpeciesNet, trained on over 65 million images, can classify images into more than 2,000 categories, including animal species and other objects. Available on GitHub, it facilitates biodiversity monitoring for tool developers, academics, and startups, and operates alongside similar offerings from companies like Microsoft.
The SpeciesNet AI model release will enable tool developers, academics, and biodiversity-related startups to scale monitoring of biodiversity in natural areas.
Google claims SpeciesNet was trained on over 65 million publicly available images and images from organizations like the Smithsonian Conservation Biology Institute.
Wildlife Insights provides a platform where researchers can share, identify, and analyze wildlife images online.
SpeciesNet can classify images into one of more than 2,000 labels, covering animal species and non-animal objects.
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