Vertebrate paleontology has a numbers problem. Computer vision can help
How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce MacFadden, UF Distinguished Professor Emeritus and retired curator of vertebrate paleontology at the Florida Museum of Natural History, the answer is somewhere around 250. This number is much lower than the amount scientists previously thought was needed. The research is published in the journal Paleobiology.
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