Abstract: An image readjustment system featuring a communication interface, one or more processors, and a persistent storage. The persistent storage is communicatively coupled to the one or more processors. The persistent storage comprises at least image location logic and image cropping logic. The image location logic is configured to receive and analyze an incoming image, using a machine learning analysis, to determine a location of a particular component within the incoming image and to calculate coordinates of a boundary area surrounding the particular component. The image cropping logic is configured to remove portions of the incoming image outside of the boundary area to generate a modified image to be rendered for display.

Abstract: A method is disclosed that includes operations of receiving user input that includes a vehicle identifier (ID), responsive to receiving the user input, (1) determining a set of vehicle images corresponding to the vehicle ID, (2) a set of classification IDs corresponding to the set of vehicle images, wherein the set of classification IDs includes a classification ID for each vehicle image of the set of vehicle images, and (3) determining feature content corresponding to the set of classification IDs, generating an image-to-feature data map configured to associate the following (i) each vehicle image, (ii) one or more portions of the feature content, and (iii) one or more classification IDs, and transmitting the image-to-feature association to a logic module embedded in webpage code of a webpage, wherein the image-to-feature association includes instructions that, upon execution, cause a rendering of a first vehicle image and first feature content on the webpage.

Abstract: An image readjustment system featuring a communication interface, one or more processors, and a persistent storage. The persistent storage is communicatively coupled to the one or more processors. The persistent storage comprises at least image location logic and image cropping logic. The image location logic is configured to receive and analyze an incoming image, using a machine learning analysis, to determine a location of a particular component within the incoming image and to calculate coordinates of a boundary area surrounding the particular component. The image cropping logic is configured to remove portions of the incoming image outside of the boundary area to generate a modified image to be rendered for display.