There are two types of object detection models : two-stage object detectors and single-stage object detectors. Single-stage object detectors (like YOLO ) architecture are compo… See more

Up to the day of writing this article, there is no research paper that was published for YOLO v5 as mentioned here, hence the illustrations used bellow are unofficial and serve only f… See more

Choosing an activation function is crucial for any deep learning model, for YOLOv5 the authors went with SiLU and Sigmoid activation function. SiLU stands for Sigmoid Linear Unit … See more

YOLOv5 returns three outputs: the classes of the detected objects, their bounding boxes and the objectness scores. Thus, it uses BCE (Binary Cross Entropy) to compute th… See more