Test method and device based on image recognition, computer device and storage medium

Abstract

The invention discloses a test method and device based on image recognition, a computer device and a storage medium, and the method comprises the steps of obtaining a test sample and a recognition object in the test sample according to the unique identifier of a recognition target; receiving a test instruction, and obtaining a preset interface address associated with the unique identifier of the identification target; calling an image recognition model through a preset interface corresponding to the interface address, and inputting the test sample into the image recognition model; obtaining anidentification result of the test sample output by the image identification model; and obtaining a test result according to the matching rate of the identification result and the identification object in the test sample. According to the invention, the test efficiency and the accuracy are improved, reference is provided for further adjustment of the image recognition model, and the user experience is improved.

Description

technical field [0001] The invention relates to the field of testing, in particular to a testing method, device, computer equipment and storage medium based on image recognition. Background technique [0002] At present, AI (Artificial Intelligence, artificial intelligence) technology is gradually rising and becoming a hot topic on the Internet. For example, image recognition can be performed through AI technology, and image recognition requires learning a large number of images belonging to the same target, so as to train the image recognition model of the target (such as recognizing face images, plant images, etc.), However, in the prior art, after the image recognition model is trained, there are no good testing methods and tools to test the image recognition model to check whether the image recognition model meets the requirements for identifying objects, so as to determine Whether the image recognition model meets the standard of the current usage scenario. Therefore,...

AI Technical Summary

Problems solved by technology

For example, image recognition can be performed through AI technology, and image recognition requires learning a large number of images belonging to the same target object, so as to train the image recognition model of the target object (such as recognizing face images, plant images, etc.), However, in the prior art, after the image recognition model is trained, there are no good testing methods and tools to test the image recognition model to check whether the image recognition model meets the requirements for identifying the target object, so as to determine Does the image recognition model meet the standards of the current usage scenario?

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