Target detection method based on improved YOLOX algorithm

• Main Authors: MIAO YIYUAN, QIN JIAN, GAO SHANG
• Format: Patent
• Language: Chinese; English
• Published: 05.09.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention relates to the technical field of target detection, in particular to a target detection method based on an improved YOLOX algorithm, and aims to solve the technical problem that the detection precision of an image for detecting a small target is insufficient. The target detection method comprises the following steps: acquiring a trademark data set, and converting a picture format in the trademark data set into a format which can be directly input into a YOLO network for training to obtain an available trademark data set; preprocessing data of the available trademark data set, and dividing all trademark pictures into a training set, a verification set and a test set; analyzing the training set, the verification set and the test set, and determining all trademark types; the method comprises the following steps: improving a network structure based on YOLOX to obtain an improved YOLOX target detection algorithm; and training the improved YOLOX target detection algorithm by using the training data se