CPC G06F 18/40 (2023.01) [G06F 3/0481 (2013.01); G06F 3/04842 (2013.01); G06F 18/22 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 10/40 (2022.01); G06V 30/14 (2022.01)] | 20 Claims |
1. A computer-implemented method, comprising:
obtaining, by a computing device, a machine-learning model that has been previously trained to identify an image vector from an input image;
obtaining, by the computing device, a set of image feature vectors based at least in part on providing individual images of a set of images to the machine-learning model as input, the set of images comprising varying images of an item;
calculating, by the computing device, a similarity score for each pair of image feature vectors from the set of image feature vectors obtained from the machine-learning model;
presenting, at a user interface, the similarity score for each pair of image feature vectors from the set of image feature vectors;
receiving, via the user interface, user input indicating removal of a specific image from the set of images;
in response to the user input, removing the image from the set of images;
updating the user interface based at least in part on removing the image from the set of images; and
conducting at least one user interface experiment utilizing the set of images as updated.
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