An Overview of Target Detection

The field of object detection involves multiple aspects such as network structure, loss function, and evaluation methods. DCNN, YOLO, and SSD are common algorithms, and positional loss is a critical part. The COCO dataset is used to evaluate object detection, segmentation, and keypoint detection algorithms, with accuracy, recall, and F1 score being commonly used evaluation criteria. The future outlook includes improving algorithms and finding more effective evaluation methods.