公开(公告)号：US20220335316A1

公开(公告)日：2022-10-20

申请号：US17659516

申请日：2022-04-18

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： YE ZHANG ,  JUN WANG ,  HAO WANG ,  YU MA ,  LIANG WANG

IPC: G06N5/04 ,  G06N5/02

Abstract: The present disclosure discloses a data annotation method and apparatus, an electronic device and a readable storage medium, and relates to artificial intelligence fields such as deep learning, computer vision and autonomous driving. The method may include: acquiring a detection model, the detection model being trained by using sensor data manually annotated as startup data; performing obstacle detection on to-be-annotated sensor data by using the detection model, the startup data and the to-be-annotated sensor data being a same type of sensor data; performing obstacle tracking and matching according to detection results to obtain obstacle trajectory information; and modifying the detection results according to the obstacle trajectory information, and taking modified detection results as required annotation results. Labor and time costs can be saved by use of the solutions of the present disclosure.