Artificial intelligence machine learning system for classifying images and producing a predetermined visual output
The present disclosure is directed to automatically receiving, modifying, sequencing, and displaying vehicle images for marketing to prospective buyers. A seller uploads images of a vehicle to the system, which system uses artificial intelligence and machine learning to classify the images, identify objects within the images, add backgrounds, banners, and hotspots, and generate metadata associating the results of the foregoing processes with the particular images. The system uses the stored metadata to sequence the images in a format predetermined by the seller and upload the sequenced images for display to a prospective buyer.
1 . At least one non-transitory computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a computer, causes the computer to perform a method comprising:
receiving an image comprising pixels defining at least an item and a first background;
automatically analyzing the pixels in the image to identify the item using artificial intelligence machine learning;
automatically associating the item with a predetermined classification selected from a plurality of classifications using artificial intelligence machine learning;
generating a metadata value associating the item with the predetermined classification;
automatically analyzing the pixels in the image to identify the first background using artificial intelligence machine learning;
automatically identifying a first X and a first Y coordinate associated with the item using artificial intelligence machine learning;
automatically identifying a second X and a second Y coordinate associated with the item;
automatically removing the first background from the image using artificial intelligence machine learning;
automatically adding a second background to the image;
automatically using the metadata value to select a predetermined location in the image;
automatically creating a modified image using the first X, first Y, second X, and second Y coordinates to position the item at the predetermined location on the second background in the image;
providing a display; and
displaying the modified image on the display in a visually perceptible format.
2 . The at least one non-transitory computer-readable storage medium of claim 1 , wherein the predetermined classification is the rotational orientation of the item.
3 . The at least one non-transitory computer-readable storage medium of claim 1 , wherein the predetermined classification is a vehicle type.
4 . The at least one non-transitory computer-readable storage medium of claim 1 , further comprising automatically using the first X, first Y, second X, and second Y coordinates to resize the item to a predetermined size and using the resized item to create the modified image.
5 . At least one non-transitory computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a computer, causes the computer to perform a method comprising:
receiving an image comprising at least an item and a first background;
automatically associating the item with a predetermined classification selected from a plurality of classifications using artificial intelligence machine learning;
automatically analyzing the image to determine a first location of the item in the image using artificial intelligence machine learning;
automatically identifying an X coordinate associated with the item;
automatically identifying a Y coordinate associated with the item;
creating a supplemental image with a second background;
automatically using the predetermined classification to select a predetermined location in the supplemental image;
automatically using the X coordinate and the Y coordinate to position the item at the predetermined location on the second background in the supplemental image to create a modified image;
providing a display; and
displaying the modified image on the display in a visually perceptible format.
6 . The at least one non-transitory computer-readable storage medium of claim 5 , wherein the predetermined classification is the rotational orientation of the item.
7 . The at least one non-transitory computer-readable storage medium of claim 5 , wherein the predetermined classification is a vehicle type.
8 . The at least one non-transitory computer-readable storage medium of claim 5 , further comprising automatically using the X coordinate and the Y coordinate to resize the item to a predetermined size and automatically using the resized item to create the modified image.