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{"id":4128,"date":"2022-04-20T15:28:57","date_gmt":"2022-04-20T15:28:57","guid":{"rendered":"https:\/\/scienceandnerds.com\/2022\/04\/20\/wildlife-photos-are-a-new-treasure-trove-for-ai-driven-conservation-research\/"},"modified":"2022-04-20T15:28:57","modified_gmt":"2022-04-20T15:28:57","slug":"wildlife-photos-are-a-new-treasure-trove-for-ai-driven-conservation-research","status":"publish","type":"post","link":"https:\/\/scienceandnerds.com\/2022\/04\/20\/wildlife-photos-are-a-new-treasure-trove-for-ai-driven-conservation-research\/","title":{"rendered":"Wildlife photos are a new treasure trove for AI-driven conservation research"},"content":{"rendered":"

Source: https:\/\/www.theverge.com\/23032327\/wildlife-photos-ai-conservation-research<\/a>
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If you look at a photograph of leopards, would you be able to tell which two were related based on their spots?<\/p>\n

Unless you\u2019re a leopard expert, the answer is most likely not, says Tanya Berger-Wolf, director of the Translational Data Analytics Institute (TDAI) at Ohio State University. But, she says, computers can.<\/p>\n

Berger-Wolf and her team are pioneering a new field of study called imageomics. As the name suggests, imageomics uses machine learning to extract biological data from photos and videos of living organisms. Berger-Wolf and her team have recently begun collaborating with researchers studying leopards in India to compare spot patterns of moms and children using algorithms. <\/p>\n

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