Abstract: For products that are sold online, the manner in which a product is displayed in an image can affect sales of the product. Embodiments of the present disclosure relate to computer-implemented systems and methods to provide a user with recommendations when generating an image of a product. A method includes obtaining a product image and determining parameters of the product image. A recommendation for modifying the product image is then generated using a model to relate these parameters to market success of the product image. The recommendation is displayed on the user device, and a user can potentially improve subsequent product images by following the recommendation.

Abstract: In some embodiments, a computer-implemented system within an e-commerce platform may receive and analyse digital images of scenes in order to generate a recommendation for one or more products offered for sale by a merchant. For example, a user may use their device to capture an image of a room that the user wishes to furnish, and the system may use a trained machine learning algorithm to recommend a product to be placed in the room. The recommended product may be superimposed on the image of the room.

Abstract: For products that are sold online, the manner in which a product is displayed in an image can affect sales of the product. Embodiments of the present disclosure relate to computer-implemented systems and methods to provide a user with recommendations when generating an image of a product. A method includes obtaining a product image and determining parameters of the product image. A recommendation for modifying the product image is then generated using a model to relate these parameters to market success of the product image. The recommendation is displayed on the user device, and a user can potentially improve subsequent product images by following the recommendation.

Abstract: In some embodiments, a computer-implemented system within an e-commerce platform may receive and analyse digital images of scenes in order to generate a recommendation for one or more products offered for sale by a merchant. For example, a user may use their device to capture an image of a room that the user wishes to furnish, and the system may use a trained machine learning algorithm to recommend a product to be placed in the room. The recommended product may be superimposed on the image of the room.

Abstract: A computer-implemented method and system may include receiving one or more images of a body; determining one or more initial body measurements of the body based on the one or more images; determining at least one supplemental measurement of a portion of the body, the supplemental measurement determined at least in part using one or more sensors of a mobile device; and applying a correction factor to the one or more initial body measurements of the body based at least in part on the supplemental measurement to produce a corrected body measurement.

Abstract: A computer-implemented method and system may include receiving one or more images of a body; determining one or more initial body measurements of the body based on the one or more images; determining at least one supplemental measurement of a portion of the body, the supplemental measurement determined at least in part using one or more sensors of a mobile device; and applying a correction factor to the one or more initial body measurements of the body based at least in part on the supplemental measurement to produce a corrected body measurement.

Abstract: In some embodiments, a computer-implemented system within an e-commerce platform may receive and analyse digital images of scenes in order to generate a recommendation for one or more products offered for sale by a merchant. For example, a user may use their device to capture an image of a room that the user wishes to furnish, and the system may use a trained machine learning algorithm to recommend a product to be placed in the room. The recommended product may be superimposed on the image of the room.

Abstract: A computer-implemented method and system may include receiving one or more images of a body; determining one or more initial body measurements of the body based on the one or more images; determining at least one supplemental measurement of a portion of the body, the supplemental measurement determined at least in part using one or more sensors of a mobile device; and applying a correction factor to the one or more initial body measurements of the body based at least in part on the supplemental measurement to produce a corrected body measurement.

Abstract: For products that are sold online, the manner in which a product is displayed in an image can affect sales of the product. Embodiments of the present disclosure relate to computer-implemented systems and methods to provide a user with recommendations when generating an image of a product. A method includes obtaining a product image and determining parameters of the product image. A recommendation for modifying the product image is then generated using a model to relate these parameters to market success of the product image. The recommendation is displayed on the user device, and a user can potentially improve subsequent product images by following the recommendation.