Figure 1.

(Left) General workflow of the study including model determination and data collection, model training, bird counting, and map preparation. (Right) Typical flowchart for the deep neural network training process in which the network adjusts its parameters to match the input image bounding box predictions to the ground-truth boxes using a given loss function. The details of all steps are presented in the following sections.