Abstract: Techniques are described for performing estimations based on image analysis. In some implementations, one or more images may be received of at least portion(s) of a physical object, such as a vehicle. The image(s) may show damage that has occurred to the portion(s) of the physical object, such as damage caused by an accident. The image(s) may be transmitted to an estimation engine that performs pre-processing operation(s) on the image(s), such as operation(s) to excerpt one or more portion(s) of the image(s) for subsequent analysis. The image(s), and/or the pre-processed image(s), may be provided to an image analysis service, which may analyze the image(s) and return component state information that describes a state (e.g., damage extent) of the portion(s) of the physical object shown in the image(s). Based on the component state information, the estimation engine may determine a cost estimate to repair and/or replace damaged component(s).

Abstract: Techniques are described for performing estimations based on image analysis. In some implementations, one or more images may be received of at least portion(s) of a physical object, such as a vehicle. The image(s) may show damage that has occurred to the portion(s) of the physical object, such as damage caused by an accident. The image(s) may be transmitted to an estimation engine that performs pre-processing operation(s) on the image(s), such as operation(s) to excerpt one or more portion(s) of the image(s) for subsequent analysis. The image(s), and/or the pre-processed image(s), may be provided to an image analysis service, which may analyze the image(s) and return component state information that describes a state (e.g., damage extent) of the portion(s) of the physical object shown in the image(s). Based on the component state information, the estimation engine may determine a cost estimate to repair and/or replace damaged component(s).

Abstract: Techniques are described for analyzing data regarding users and purchasable items, and providing user experiences to users regarding the buying, leasing, and/or selling of item(s), the history of item(s), and/or other services associated with the item(s). Data may be analyzed by a data engine that provides output to power multiple user experiences (e.g., user interfaces). Such user experiences may include providing a user with recommendation(s) of items that may be of interest to the user. Recommendations may be determined using one or more algorithms, such as a content-based, criteria-based, and/or collaborative algorithm. The recommendation(s) may be presented to the user through a search user interface.

Abstract: Techniques are described for performing estimations based on image analysis. In some implementations, one or more images may be received of at least portion(s) of a physical object, such as a vehicle. The image(s) may show damage that has occurred to the portion(s) of the physical object, such as damage caused by an accident. The image(s) may be transmitted to an estimation engine that performs pre-processing operation(s) on the image(s), such as operation(s) to excerpt one or more portion(s) of the image(s) for subsequent analysis. The image(s), and/or the pre-processed image(s), may be provided to an image analysis service, which may analyze the image(s) and return component state information that describes a state (e.g., damage extent) of the portion(s) of the physical object shown in the image(s). Based on the component state information, the estimation engine may determine a cost estimate to repair and/or replace damaged component(s).