The present application relates to the technical field of image processing. Disclosed are an artificial intelligence-based object detection method and apparatus, a device, and a storage medium. In the present application, feature maps of different scales are extracted from a target image by means of an object detection model to determine image position information of an object and first confidences of the object belonging to different categories; a target area where the object is located is obtained from the target image; the target area is compared, by means of an object retrieval model, with sample images of different categories to obtain second confidences of the object belonging to different categories; among the categories, the category corresponding to the largest sum of the first confidence and the second confidence is determined as a target category to which the object belongs. In the present solution, two category predictions are performed by combining the object detection model and the object retrieval model, and the object retrieval model corrects the prediction result of the object detection model, thereby improving the accuracy of the prediction result.
ARTIFICIAL INTELLIGENCE-BASED OBJECT DETECTION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM