Computer vision methods for loss prediction and asset evaluation based on aerial images

A computing platform comprising:

• at least one processor;
• a communication interface communicatively coupled to the at least one processor;
• and
• memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:
• receive, from a first data source, historical images comprising aerial images of a plurality of residential properties;
• receive, from a second data source, historical inspection data indicating historical inspection results corresponding to one or more of the plurality of residential properties;
• train, using the historical images and the historical inspection data, a roof waiver model, wherein training the roof waiver model configures the roof waiver model to output inspection prediction information directly from an image, and wherein the roof waiver model is a computer vision model;
• receive, from the first data source, a new image corresponding to a particular residential property;
• analyze, using the roof waiver model, the new image, wherein analyzing the new image directly results in output of a likelihood of passing inspection;
• and
• send, to an enterprise user device, inspection information, based on the likelihood of passing inspection, and one or more commands directing the enterprise user device to display the inspection information, wherein the inspection information indicates whether or not a physical inspection should be performed, and wherein sending the one or more commands directing the enterprise user device to display the inspection information causes the enterprise user device to display the inspection information.