Figure 1
From: Automated detection of GFAP-labeled astrocytes in micrographs using YOLOv5
Network architecture. The figure shows the architectural diagram of YOLOv5 (default setting). It consists of three sections: (1) Backbone, (2) Neck, and (3) Head. Following preprocessing, images are first input to the Backbone for feature extraction, then are fed to the Neck for feature fusion and finally processed by the Head network to generate a model and output detection results (class, score, location, size).
