A Review of YOLO Object Detection Algorithms based on Deep Learning
Xiaohan Cong, Shixin Li, Fankai Chen, Chen Liu, Yue Meng
Abstract
Object detection is a research hotspot in the field of computer vision, and YOLO series shows good performance in object detection, and has been widely used in robot vision, unmanned driving and other fields in recent years. This paper first introduces the YOLO series algorithm, including the principle, innovation points, advantages and disadvantages of various algorithms, then introduces the application field of YOLO series, and finally analyzes its future development trend to provide reference for the topic research.
Topics & Concepts
Computer scienceObject detectionArtificial intelligenceComputer visionField (mathematics)Hotspot (geology)Series (stratigraphy)AlgorithmPattern recognition (psychology)MathematicsGeophysicsPaleontologyPure mathematicsBiologyGeologyAdvanced Neural Network ApplicationsVideo Surveillance and Tracking MethodsIndustrial Vision Systems and Defect Detection