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公开(公告)号:US10902551B1
公开(公告)日:2021-01-26
申请号:US16717013
申请日:2019-12-17
Applicant: X Development LLC
IPC: G06T3/00 , G06T7/194 , G06T7/70 , G06K9/62 , G06F3/0484
Abstract: Systems and methods for augmenting a data set are provided. An example method may include locating a foreground object disposed within a seed image, identifying an object class corresponding to the foreground object, and, based on the identified object class, determining a target value for an object property of the foreground object. The example method may also include applying a transformation function to transform the foreground object into a transformed object, where the transformation function modifies the object property of the foreground object from having an initial value to having the target value. The example method may further include transplanting the transformed object into a background image so as to produce an augmented image and augmenting an initial set of images with the augmented image so as to produce an augmented set of images for training a predictive model.
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公开(公告)号:US20220222772A1
公开(公告)日:2022-07-14
申请号:US17657464
申请日:2022-03-31
Applicant: X Development LLC
IPC: G06T3/00 , G06T7/194 , G06T7/70 , G06K9/62 , G06F3/0484
Abstract: Systems and methods for augmenting a data set are provided. An example method may include locating a foreground object disposed within a seed image, identifying an object class corresponding to the foreground object, and, based on the identified object class, determining a target value for an object property of the foreground object. The example method may also include applying a transformation function to transform the foreground object into a transformed object, where the transformation function modifies the object property of the foreground object from having an initial value to having the target value. The example method may further include transplanting the transformed object into a background image so as to produce an augmented image and augmenting an initial set of images with the augmented image so as to produce an augmented set of images for training a predictive model.
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公开(公告)号:US11321809B2
公开(公告)日:2022-05-03
申请号:US17124103
申请日:2020-12-16
Applicant: X Development LLC
IPC: G06T3/00 , G06T7/194 , G06T7/70 , G06K9/62 , G06F3/0484
Abstract: Systems and methods for augmenting a data set are provided. An example method may include locating a foreground object disposed within a seed image, identifying an object class corresponding to the foreground object, and, based on the identified object class, determining a target value for an object property of the foreground object. The example method may also include applying a transformation function to transform the foreground object into a transformed object, where the transformation function modifies the object property of the foreground object from having an initial value to having the target value. The example method may further include transplanting the transformed object into a background image so as to produce an augmented image and augmenting an initial set of images with the augmented image so as to produce an augmented set of images for training a predictive model.
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公开(公告)号:US20210183008A1
公开(公告)日:2021-06-17
申请号:US17124103
申请日:2020-12-16
Applicant: X Development LLC
IPC: G06T3/00 , G06K9/62 , G06T7/70 , G06T7/194 , G06F3/0484
Abstract: Systems and methods for augmenting a data set are provided. An example method may include locating a foreground object disposed within a seed image, identifying an object class corresponding to the foreground object, and, based on the identified object class, determining a target value for an object property of the foreground object. The example method may also include applying a transformation function to transform the foreground object into a transformed object, where the transformation function modifies the object property of the foreground object from having an initial value to having the target value. The example method may further include transplanting the transformed object into a background image so as to produce an augmented image and augmenting an initial set of images with the augmented image so as to produce an augmented set of images for training a predictive model.
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