公开(公告)号：US20210383535A1

公开(公告)日：2021-12-09

申请号：US16895759

申请日：2020-06-08

Applicant: X Development LLC

Inventor： Lianghao Li ,  Kangkang Wang ,  Zhiqiang Yuan

IPC: G06T7/00 ,  G06T11/00 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04

Abstract: Implementations are described herein for automatically generating synthetic training images that are usable, for instance, as training data for training machine learning models to detect and/or classify various types of plant diseases at various stages in digital images. In various implementations, one or more environmental features associated with an agricultural area may be retrieved. One or more synthetic plant models may be generated to visually simulate one or more stages of a progressive plant disease, taking into account the one or more environmental features associated with the agricultural area. The one or more synthetic plant models may be graphically incorporated into a synthetic training image that depicts the agricultural area.