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公开(公告)号:US11900580B2
公开(公告)日:2024-02-13
申请号:US17158585
申请日:2021-01-26
Applicant: X Development LLC
Inventor: Benjamin Goddard Mullet
CPC classification number: G06T7/0002 , G06F18/214 , G06N20/00 , G06Q50/16 , G06V20/176 , G06V20/188 , G06Q30/0278 , G06Q40/08 , G06Q50/26 , G06T2207/20081 , G06T2207/30188
Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.
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公开(公告)号:US20250117913A1
公开(公告)日:2025-04-10
申请号:US18985943
申请日:2024-12-18
Applicant: X Development LLC
Inventor: Benjamin Goddard Mullet
IPC: G06Q40/08
Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.
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公开(公告)号:US20220366533A1
公开(公告)日:2022-11-17
申请号:US17322562
申请日:2021-05-17
Applicant: X Development LLC
Inventor: Eliot Julien Cowan , David Andre , Benjamin Goddard Mullet
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating high-resolution fire distribution maps. In some implementations, a computer-implemented system obtains a low-resolution distribution map indicating fire distribution of an area with fire burning and a reference map indicating features of the same area. The system processes the low-resolution distribution map and the reference map using a generator neural network to generate output data including a high-resolution synthesized distribution map indicating fire distribution of the area. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network that outputs a prediction of whether an input to the discriminator neural network is a real distribution map or a synthesized distribution map.
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公开(公告)号:US20240104710A1
公开(公告)日:2024-03-28
申请号:US18535597
申请日:2023-12-11
Applicant: X Development LLC
Inventor: Benjamin Goddard Mullet
IPC: G06T7/00 , G06F18/214 , G06N20/00 , G06Q50/16 , G06V20/10
CPC classification number: G06T7/0002 , G06F18/214 , G06N20/00 , G06Q50/16 , G06V20/176 , G06V20/188 , G06Q30/0278
Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.
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公开(公告)号:US12205263B2
公开(公告)日:2025-01-21
申请号:US18535597
申请日:2023-12-11
Applicant: X Development LLC
Inventor: Benjamin Goddard Mullet
Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.
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公开(公告)号:US20220237764A1
公开(公告)日:2022-07-28
申请号:US17158585
申请日:2021-01-26
Applicant: X Development LLC
Inventor: Benjamin Goddard Mullet
Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.
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