公开(公告)号：US20220366675A1

公开(公告)日：2022-11-17

申请号：US17870525

申请日：2022-07-21

申请人： Urbanbase, Inc.

发明人： Yun Ah Baek ,  Daehee YUN

IPC分类号： G06V10/774 ,  G06V10/764 ,  G06V10/82

摘要： Disclosed is a data augmentation-based preference analysis model learning apparatus including one or more processors, wherein the operation performed by the processor includes acquiring a plurality of space images and labeling a class specifying style information corresponding to each of the plurality of space images or acquiring the plurality of space images to which the class is labeled and generating learning data, generating a second space image by changing pixel information included in a first space image within a predetermined range among the plurality of space images and augmenting the learning data, and labeling a class labeled to the first space image, to the second space image.

公开(公告)号：US20220358752A1

公开(公告)日：2022-11-10

申请号：US17870330

申请日：2022-07-21

申请人： Urbanbase, Inc.

发明人： Yun Ah Baek ,  Daehee Yun

IPC分类号： G06V10/774 ,  G06V20/70 ,  G06V10/764 ,  G06V10/82

摘要： Disclosed is a data augmentation-based space analysis model learning apparatus including one or more processors, wherein the operation performed by the processor includes acquiring a plurality of space images and labeling a class specifying space information corresponding to each of the plurality of space images or acquiring the plurality of space images to which the class is labeled and generating learning data, generating a second space image by changing some or all of pixel information included in a first space image among the plurality of space images and augmenting the learning data, labeling a class labeled to the first space image, to the second space image, and learning a weight of a model designed based on a predetermined image classification algorithm, for deriving a correlation between a space image included in the learning data and a class labeled to each of the space images.