US Patent Issued to Robert Bosch on Nov. 25 for "Instance-aware repeat factor sampling method for imbalanced data in object detection" (California Inventors)

ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,482,238, issued on Nov. 25, was assigned to Robert Bosch GmbH (Stuttgart, Germany).

"Instance-aware repeat factor sampling method for imbalanced data in object detection" was invented by Burhaneddin Yaman (San Jose, Calif.) and Chun Hao Liu (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An approach for handling long-tail distribution with data imbalance. Disclosed embodiments improve Repeat Factor Sampling methods by considering both images and bounding boxes (i.e., instances) to generate improved sets of training data. Disclosed embodiments may be useful in image analysis domains, such as object detection and classification."

The...