US Patent Issued to LandingAI on Feb. 3 for "Near-duplicate detection of images for training or validation of machine learning models" (New Jersey, Kentucky Inventors)

ALEXANDRIA, Va., Feb. 3 -- United States Patent no. 12,541,953, issued on Feb. 3, was assigned to LandingAI Inc. (Palo Alto, Calif.).

"Near-duplicate detection of images for training or validation of machine learning models" was invented by Abdelhamid Bouzid (Louisville, Ky.) and Mark William Sabini (River Edge, N.J.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system filters near-duplicate images to generate data for training or validation of a machine learning model. The system receives a set of images and generates feature vectors from the images. The system clusters the feature vectors. For each cluster of feature vectors, the system determines near-duplicate pairs of images. The system may generate ...