公开(公告)号：US20240062514A1

公开(公告)日：2024-02-22

申请号：US18452379

申请日：2023-08-18

Applicant: X Development LLC

Inventor： Julia Black Ling ,  Cory Drew Schillaci ,  Yangli Hector Yee ,  Grace Calvert Young ,  Karan Jhavar

IPC: G06V10/762 ,  G06V10/764 ,  G06V10/82 ,  G06V10/58 ,  G06V40/10 ,  G06V20/56 ,  G06V20/05

CPC classification number: G06V10/763 ,  G06V10/764 ,  G06V10/82 ,  G06V10/58 ,  G06V40/10 ,  G06V20/56 ,  G06V20/05

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for Measuring and Quantifying Biodiversity in an Environment. One of the methods includes receiving a set of images representing the marine environment; identifying, by one or more processing devices within the set of images, objects representing marine life in the marine environment; classifying, by the one or more processing devices, the objects into multiple clusters based on feature vectors identified for each of the objects; and computing, by the one or more processing devices based on attributes associated with the multiple clusters, a metric indicative of the biodiversity in the marine environment.

公开(公告)号：US20240355116A1

公开(公告)日：2024-10-24

申请号：US18136184

申请日：2023-04-18

Applicant: X Development LLC

Inventor： Grace Calvert Young ,  Yangli Hector Yee ,  Julia Black Ling ,  Cory Drew Schillaci

IPC: G06V20/05 ,  G06V10/25 ,  G06V10/764 ,  G06V20/70

CPC classification number: G06V20/05 ,  G06V10/25 ,  G06V10/764 ,  G06V20/70 ,  G06V2201/07

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing aquatic life data, e.g., aquatic life images. One of the methods includes obtaining aquatic life data; identifying a first subset of the aquatic life data that is to be annotated by one or more data annotators to generate annotated aquatic life data and a second subset of the aquatic life data that is not to be annotated; providing the first subset of the aquatic life data to the one or more data annotators, the one or more data annotators processing the first subset of the aquatic life data to generate the annotated aquatic life data; providing the second subset of the aquatic life data to a data storage curator; and determining whether and, if so, which storage device in one or more storage devices to store the second subset of the aquatic life data.

公开(公告)号：US20240355115A1

公开(公告)日：2024-10-24

申请号：US18136175

申请日：2023-04-18

Applicant: X Development LLC

Inventor： Grace Calvert Young ,  Yangli Hector Yee ,  Julia Black Ling ,  Cory Drew Schillaci

IPC: G06V20/05 ,  A01K61/10 ,  G06T7/20 ,  G06T7/70 ,  G06V10/74 ,  G06V10/762 ,  G06V10/764 ,  G06V20/70

CPC classification number: G06V20/05 ,  G06T7/20 ,  G06T7/70 ,  G06V10/761 ,  G06V10/762 ,  G06V10/764 ,  G06V20/70 ,  G06T2207/20081 ,  G06V2201/07

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing aquatic life data, e.g., aquatic life image. One of the methods includes receiving aquatic life data comprising a plurality of aquatic life images from a user through a user interface; receiving, within the user interface, a first user request to use the aquatic life data to train a machine learning model; determining a data curator score for each aquatic life image; identifying, based on the data curator scores, a proper subset of the plurality of aquatic life images; providing the proper subset of the plurality of aquatic life images to one or more data annotators; receiving annotation data generated by the one or more data annotators; and providing the annotation data to a training system configured to train the machine learning model by using the annotation data.

公开(公告)号：US20230329196A1

公开(公告)日：2023-10-19

申请号：US18133955

申请日：2023-04-12

Applicant: X Development LLC

Inventor： Pedro Montebello Milani ,  Jung Ook Hong ,  Rajesh Machhindranath Jadhav ,  Yangli Hector Yee ,  Cory Drew Schillaci ,  Julia Black Ling

IPC: A01K61/95 ,  A01K63/00

CPC classification number: A01K61/95 ,  A01K63/003

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for distribution-based machine learning. In some implementations, a method for distribution-based machine learning includes obtaining fish images from a camera device; generating predicted values using a machine learning model and one or more of the fish images; comparing the predicted values to distribution data representing features of multiple fish; and updating one or more parameters of the machine learning model based on the comparison.