Figure 5.

Automated Classification of Sand Disturbance Events Using a 3D Residual Network

(A) Schematic of 3D residual network.

(B) Validation accuracy of machine-learning labels as a function of number of videos used to train the model.

(C) Spatial position of four categories of sand manipulation events over 10 days of building by a Mchenga conophoros. A castle structure was built in the top middle of the field of view. Scale bar, 10 cm.

(D) Raster plot of time of each sand disturbance event by classification. (C and D) Building events occur at different spatial and temporal positions than feeding events.

See also Figure S5.