YOLO (You Only Look Once) is primarily designed for object detection, but it also performs object classification as part of the detection process. Here's how both tasks are integrated:
1. Object Detection:
- Detecting Objects: YOLO’s primary task is to detect objects in an image by predicting bounding boxes around them. It determines where objects are located and draws bounding boxes around those objects.
2. Object Classification:
- Classifying Detected Objects: Once YOLO detects the objects and generates bounding boxes, it simultaneously predicts the class (or label) for each object within the bounding box.
https://pjreddie.com/darknet/yolo/
