US Patent Issued to Deere & Co. on May 13 for "Generating machine learning pipelines using natural language and/or visual annotations" (California Inventor)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,299,383, issued on May 13, was assigned to Deere & Co. (Moline, Ill.).

"Generating machine learning pipelines using natural language and/or visual annotations" was invented by Yueqi Li (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Implementations are disclosed for automatically generating computer code that implements a machine learning-based processing pipeline based on multiple different modalities of input. In various implementations, one or more annotations created on a demonstration digital image to annotate one or more visual features depicted in the demonstration digital image may be processed to generate annotation embedding(s...