A method includes acquiring a plurality of pictures of a single item to be classified placed on a checkout counter, the plurality of pictures corresponding to a plurality of shooting angles one to one, performing an object detection in each of the pictures to obtain a rectangular area image, the rectangular area image being an image corresponding to a rectangular area containing the item, obtaining a plurality of primary classification results correspondingly, according to the plurality of rectangular area images and a pre-trained first-level classification model, and obtaining a first-level classification result of the plurality of pictures according to the plurality of primary classification results and a pre-trained first-level linear regression model, using the first-level classification result as a first classification result and performing checkout according to the first classification result.