Dense connection-based deep learning object detection method and device

Abstract

The invention belongs to the technical field of image detection, and specifically provides a dense connection-based deep learning object detection method and device, aiming to solve the problem that it is difficult to accurately detect smaller objects in images in the prior art. For this purpose, in the deep learning object detection method based on dense connection of the present invention, the object detection is performed on the input image based on the pre-built object detection network model, and the classification result and coordinate position of the object in the input image are obtained. The method of the present invention can extract multi-scale features of the input image, so as to better describe small objects in the image. Meanwhile, the device of the present invention is capable of performing the above method.

Description

technical field [0001] The invention belongs to the technical field of image detection, and in particular relates to a dense connection-based deep learning object detection method and device. Background technique [0002] With the development of technologies such as neural networks, computer vision, artificial intelligence, and machine perception, object detection, as an important part of the above technologies, has also made great progress. Object detection refers to the use of computers to analyze images and obtain objects in images. location and category information. Traditional object detection methods rely on artificially designed features to identify the position information and category information of objects in images, but artificially designed features are easily disturbed by light changes, object color changes, and background noise, resulting in poor robustness in practical applications. , it is difficult to meet the accuracy requirements of users. [0003] With ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem that the prior art is difficult to accurately detect smaller objects in the image, the present invention provides a dense connection-based deep learning object detection method, including:

Images