Artificial intelligence is more than just voice assistants and self-driving cars. Researchers at Auburn University, Harvard University, Oxford University, the University of Minnesota, and the University of Wyoming have developed a machine learning algorithm that can identify, characterize, and count wild animals with an accuracy of 96.6%.
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In a statement, said: "This technology allows us to accurately collect wild animal and plant data, which may contribute to the promotion of ecology, wildlife biology, zoology, conservation biology and animal behavior. 'Big data' scientific transformation. This will greatly enhance our ability to research and protect wildlife and precious ecosystems."
The researchers provided 3.2 million images as a computer vision algorithm that recruited volunteers to collect images of elephants, giraffes, gazelles, lions, cheetahs and other animals in natural habitats. This work is based on artificial intelligence research: animal testing.
AI can identify and count animals with 96.6% accuracy