Image detection method and system

Abstract

The embodiment of the invention provides an image detection method, an image detection system, a computer device and a computer readable storage medium, which are applied to the field of mobile application technologies. The image detection method comprises the steps that a portrait image collected by an image collecting device is received; the portrait image is input into a neural network model, wherein the neural network model comprises a target segmentation model and / or a target detection model; when the neural network model comprises a target segmentation model, the target segmentation model is used to acquire the attribute information of a specific region in the portrait image, and / or when the neural network model comprises the target detection model, the target detection model is usedto detect whether a target object exists in the portrait image; and whether the portrait image satisfies a preset criterion is judged. According to the image detection method provided by the embodiment of the invention, the method can automatically recognize the collected portrait image for different recognition requirements by using the neural network model; the image recognition performance isimproved; and the detection efficiency and convenience are improved.

Description

technical field [0001] Embodiments of the present disclosure relate to the technical field of mobile applications, and in particular, to an image detection method, an image detection system, a computer device, and a computer-readable storage medium. Background technique [0002] At present, the service industry is booming, and service providers often have certain requirements on the appearance of service personnel to ensure that they meet service standards. Effectively checking compliance with a large and dispersed service workforce is not simple. In related technologies, vehicle service providers provide services such as taxi rides through various vehicle drivers across geographic regions, and these drivers need to appear in front of customers with professional makeup and clothing. For example, drivers must wear a uniform and cannot wear excessive jewelry or dye their hair. Under existing conditions, drivers are often called in at regular intervals before work for visual ...

AI Technical Summary

Problems solved by technology

This method is time-consuming and labor-intensive, especially when the drivers are scattered in different locations, it is very inefficient

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