Image detection method and system

Abstract

Embodiments of the present disclosure provide an image detection method, an image detection system, computer equipment, and a computer-readable storage medium, which are applied in the technical field of mobile applications, wherein the image detection method includes: receiving a portrait image collected by an image collection device; In the image input neural network model, the neural network model includes a target segmentation model and / or a target detection model; when the neural network model includes a target segmentation model, the attribute information of a specific region in the portrait image is obtained using the target segmentation model; and / or when When the neural network model includes a target detection model, the target detection model is used to detect whether there is a target object in the portrait image; and to judge whether the portrait image meets a preset standard. The image detection method provided by the embodiments of the present disclosure can automatically recognize the collected portrait images according to different recognition requirements by using a neural network model, which improves image recognition performance, detection efficiency and convenience.

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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