Patent ID: 11861644
Assignee: MULBERRY TECHNOLOGY INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A non-transitory processor-readable medium storing code comprising instructions configured to be executed by a processor to cause the processor to:
retrain at least one pretrained image classifier, including:
accessing training data collected from a plurality of webpages, the training data including a plurality of images,
ascertaining a number of product classes represented in the training data,
replacing a final layer of the at least one pre-trained image classifier with a layer that is configured to classify an image into one of a number of classes that is equal to the number of product classes represented in the training data to produce at least one modified image classifier, and
train the at least one modified image classifier with the training data to produce the at least one trained machine learning image classifier;

receive an indication of text content and an indication of a plurality of images appearing on a webpage offering a product for sale;
apply a trained machine learning text classifier to the text content to produce a text classification of the product;
apply the at least one trained machine learning image classifier to each image from the plurality of images to return a plurality of predicted image classes;
subject the plurality of predicted image classes to a voting filter such that an image class from the plurality of predicted image classes that is associated with fewer than a threshold number of images from the plurality of images is discarded and not provided to a trained combination machine learning classifier;
apply the trained combination machine learning classifier to the text classification and the plurality of predicted image classes, excluding the image class that is associated with fewer than a threshold number of images from the plurality of images, to predict a combined classification of the product; and
offer a warranty for the product based on the combined classification of the product.