Lemur ID
Lemur ID was developed by Drs. Stacey Tecot and Rachel Jacobs, primatologists and biological anthropologists, in conjunction with University of Arizona’s Eller Tech Core.
Tech Core helps identify individual red-bellied lemurs in Madagascar with cloud-based machine learning harnessed through a mobile application. These facial recognition algorithms can help researchers identify and track red-bellied lemurs in their natural habitat without tranquilizing and capturing them. This noninvasive procedure enables researchers to enhance their learning about red-bellied lemurs and their populations over time.
This work was supported by a Research Advancement Faculty Seed Grant from the University of Arizona Research, Innovation & Impact (UA RII).
Additionally, this work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562.
lemurid.arizona.edu
techcore.arizona.edu