The field of 'imageomics' is taking a fresh look at pictures.
” meaning there’s not enough information to make a proper assessment of its risk of extinction. As Berger-Wolf sums it up, “biologists are making decisions without having good data on what we’re losing and how fast.”
The platform started with supervised learning — Berger-Wolf says the computer uses algorithms “simpler than Siri” to count how many animals are in the image, as well as where it was taken and when, which could contribute to metrics like population counts. Not only can AI do this at a much lower cost than hiring people but also at a faster rate. In August 2021, the platform analyzed 17 million images automatically.There are also barriers that only a computer can seem to overcome.
“That’s where all the true innovation in all of this is,” Berger-Wolf says. The team is implementing algorithms that create pixel values of patterned animals, like leopards, zebras, and whale sharks, and analyze those hot spots where the pixel values change most — it’s like comparing fingerprints. Having these fingerprints means researchers can track animals non-invasively and without GPS collars, count them to estimate population sizes, understand migration patterns, and more.
As Berger-Wolf points out, population size is the most basic metric of a species’ well-being. The platform scanned 11,000 images of whale sharks to create hot spots and help researchers identify individual whale sharks and track their movement, which led to updated information about their population size. This new data pushed the IUCN to change the conservation status of the whale shark from “vulnerable” to “endangered” in 2016.
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