Michigan ZoomIN: validating crowd-sourcing to identify mammals from camera surveys
G. I. Gadsden, R. Malhotra, J. Schell, T. Carey, N. C. Harris
The paper validates the accuracy of crowd-sourced classifications of camera trap images for mammals in Michigan, showing user accuracy comparable to experts when using a hierarchical consensus workflow.
bioRxiv · Jun 9, 2020Ecology