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Vehicle classification detection method based on optimized YOLOv5 model

A technology for classifying and detecting vehicles, which is applied in the field of target recognition. It can solve the problems of small vehicle images, overlapping vehicle occlusions, and failure to meet the requirements of vehicle detection speed and accuracy, so as to improve detection speed, improve accuracy and speed, and improve identification accuracy. Effect

Pending Publication Date: 2021-06-18
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology

However, in the face of the current more complex traffic environment, such as small vehicle images, overlapping vehicle occlusions, and the inability to meet the detection speed and accuracy requirements for vehicles

Method used

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  • Vehicle classification detection method based on optimized YOLOv5 model
  • Vehicle classification detection method based on optimized YOLOv5 model
  • Vehicle classification detection method based on optimized YOLOv5 model

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Embodiment Construction

[0051] A vehicle classification and detection method based on the optimized YOLOv5 model proposed by the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The advantages and features of the present invention will become clearer from the following description. It should be noted that the drawings are in a very simplified form and all use imprecise scales, which are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention. In order to make the objects, features and advantages of the present invention more comprehensible, please refer to the accompanying drawings. It should be noted that the structures, proportions, sizes, etc. shown in the drawings attached to this specification are only used to match the content disclosed in the specification, for those who are familiar with this technology to understand and read, and are not used to limit the...

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Abstract

The invention discloses a vehicle classification detection method based on an optimized YOLOv5 model. The method comprises the steps of obtaining road traffic vehicle image data; performing vehicle type division on the road traffic vehicle image data to establish a vehicle identification detection data set; according to the vehicle identification detection data set, constructing an OP-YOLOv5 vehicle classification detection model; and inputting to-be-detected image data into the OP-YOLOv5 vehicle classification detection model to obtain a detection result. According to the invention, the precision and speed of vehicle detection are improved.

Description

technical field [0001] The invention relates to the technical field of target recognition, in particular to a vehicle classification and detection method based on an optimized YOLOv5 model. Background technique [0002] In recent years, with the rapid development of the economy, the number of automobiles in the country has increased rapidly. At the same time, the cost of statistics and management of automobile information has also increased year by year. With the fiery development of computer technology and the society's attention to the development of intelligence, technologies such as image recognition and target detection have also developed rapidly in recent years, which not only brings convenience to people's lives, but also provides a new choice for social management. , and further promote the possibility of widespread popularization of autonomous driving technology and even unmanned driving in the future. [0003] In the past, vehicle target detection usually include...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/54G06V10/44G06V2201/08G06N3/045G06F18/241Y02T10/40
Inventor 李佳昊陈实阮佳程张少刚张浩
Owner SHANGHAI MARITIME UNIVERSITY
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