Abstract: An information processing device used for an electronic commerce platform includes one or more processors and one or more memories. At least one of the memories stores item data related to items registered in the electronic commerce platform. The item data includes data sets. The data sets each include data fields registered for one of the items. The data fields each include item information related to the one of the items. The processor is configured to execute an indexing process for one or more pieces of item information to obtain an index used to compare the one or more pieces of item information with each other.

Abstract: An information processing device is configured to identify a background area of a first image registered from a first account and a background area of a second image registered from a second account, and to output identicalness information indicating whether a user owning the first account and a user owning the second account are identical to each other based on the background area of the first image and the background area of the second image.

Abstract: Disclosed herein is a detecting device including a second machine learning model provided for mutual learning together with a first machine learning model, the first machine learning model being subjected to machine learning so as to generate genuine or fraudulent article information having a plurality of modalities, and the second machine learning model being subjected to machine learning so as to discriminate whether article information having a plurality of modalities is genuine or not, an obtaining section configured to obtain article information having a plurality of modalities, and an estimating section configured to estimate whether the article information that is obtained by the obtaining section and has the plurality of modalities is genuine or not, by using the second machine learning model.

Abstract: Disclosed is a packaging box body for packing an article. In the packaging box body, an upper surface and at least two lateral surfaces that are adjacent to each other are defined as target surfaces, and a code image is formed on each of the target surfaces.

Abstract: Disclosed is an image processing apparatus including a receiving section that receives a captured image of a target object, an instruction section that gives a user an instruction on which direction to capture an image of the target object, an inferencing section that performs an inference of an imaging direction on the basis of the received captured image, and a verifying section that performs predetermined verification processing related to the target object on the basis of an imaging direction as the instructed direction and the imaging direction as a result of the inference.

Abstract: Disclosed is an image processing apparatus including a receiving section that receives a captured image of a target object, a recognizing section that performs recognition of the target object by extracting feature points of the target object on the basis of the captured image, a recommending section that gives recommendation regarding an imaging direction on the basis of a type of the target object, and an instruction section that gives an instruction on a specific direction to capture an image of the target object, on the basis of a result of the recognition and a result of the recommendation.

Abstract: To determine whether product information provided from a seller is consistent, provided is a learning device including at least one processor, the at least one processor being configured to: acquire first and second product information from a storage in which a plurality of pieces of product information each including a plurality of pieces of item data relating to a product are stored in advance; generate third product information in which at least one piece of item data included in the first product information is replaced with the corresponding at least one piece of item data of the second product information; and cause a machine learning model to learn the third product information as inconsistent product information, wherein the machine learning model is configured to determine, when a piece of product information is input, whether the piece of product information is consistent.

Abstract: An information processing system configured to provide an electronic commerce platform. An information processing system is configured to acquire a descriptive text related to an item and at least one image related to the item; identify an object from the descriptive text; detect an object from each of the at least one image; and generate correspondence information based on correspondence between the object identified from the descriptive text and the object detected from the image.

Abstract: An information processing apparatus acquires a plurality of images related to a specified article, decides suitability of each of the plurality of images for estimating a state of the article, and outputs state information indicating an estimated state of the specified article based on a result of the decision and at least a part of the plurality of images.

Abstract: An information processing device is configured to identify a background area of a first image registered from a first account and a background area of a second image registered from a second account, and to output identicalness information indicating whether a user owning the first account and a user owning the second account are identical to each other based on the background area of the first image and the background area of the second image.