System and method for home façade features detection in a geographic region

A method of home exterior feature detection and analysis, wherein a geographic area of interest and home exterior features of interest are received on a graphical user interface as input, the method comprising:

• storing the geographic area of interest;
• retrieving addresses of all houses within the geographic area of interest;
• retrieving and storing raw images of houses taken from a viewpoint from a street adjacent to each house for each of the retrieved addresses, thereby resulting in raw street level images of houses;
• cropping the raw street level images based on an overhead view or representation of each house to remove portions of adjacent houses in the images thereby producing cropped images of each house;
• storing the cropped images;
• providing the stored cropped images to a Machine Learned Model trained with a training set of street level images of with one or more exterior features labeled;
• identifying the home exterior features of interest in the cropped images by way of the Machine Learned Model;
• quantifying and outputting, in integers such as 0, 1, 2, or 3, counts of each of the identified exterior features in the cropped street level images;
• converting pixels of the identified exterior features in the cropped street level images into area dimensions;
• and
• quantifying and outputting, in area units such as square feet or square meters, a two-dimensional area for each of the identified exterior features in the cropped street level images.