OpenMonkeyChallenge is a computer vision benchmark challenge for Non-Human Primate (NHP) pose tracking. It is an open and ongoing competition based on our provided dataset. Our dataset consists of over 100,000 annotated (17 body landmarks) photographs of NHPs in naturalistic contexts obtained from various sources including the internet, National Primate Centers, and the Minnesota Zoo. Our dataset includes diverse species of monkeys and apes. The 17 landmarks together comprise a pose.
Publication
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OpenMonkeyChallenge: Dataset and Benchmark Challenges for Pose Tracking of Non-human Primates Y. Yao, A. Mohan, E. Bliss-Moreau, K. Coleman, S. M. Freeman, C. J. Machado, J. Raper, J. Zimmermann, B. Y. Hayden, H. S. Park Preprint paper link |
Competition webpage
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Acknowledgement
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University of Minnesota |
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National Institute on Mental Health |
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NSF Integrative Strategies for Understanding Neural and Cognitive Systems (NCS) |
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Minnesota Zoo |
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Yerkes National Primate Research Center |
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Oregon National Primate Research Center |
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California National Primate Research Center |
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