PROCESSING AQUATIC LIFE IMAGES
    12.
    发明公开

    公开(公告)号:US20240355116A1

    公开(公告)日:2024-10-24

    申请号:US18136184

    申请日:2023-04-18

    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.

    SIMULATOR NEURAL NETWORK PREDICTION
    13.
    发明公开

    公开(公告)号:US20240070464A1

    公开(公告)日:2024-02-29

    申请号:US18453226

    申请日:2023-08-21

    CPC classification number: G06N3/084

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for combining a simulator and neural network for predictions, such as predictions of Harmful Algal Bloom (HAB). One of the methods includes obtaining an estimate of a first number of marine-life cells representative of growth of the marine-life within a first region; providing the estimate to a prediction system that comprises (i) an ocean simulator and (ii) a trained network model, wherein the trained network model is trained to provide an indication of marine-life change using output from the ocean simulator; obtaining output from the prediction system, wherein the output indicates a second number of cells representative of growth of the marine-life within a second region; comparing the output to an output threshold; and in response to the output satisfying the output threshold, performing an action.

    MAPPING COASTAL ECOSYSTEMS
    14.
    发明公开

    公开(公告)号:US20240062114A1

    公开(公告)日:2024-02-22

    申请号:US18452044

    申请日:2023-08-18

    CPC classification number: G06N20/00 B64G1/1021 A01G33/00 G06Q50/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting features of an aquatic ecosystem. One of the methods includes generating, using ground truth data, first training input, wherein the first training input includes training labels; generating an augmented dataset from multiple data sources as second training input, wherein the augmented dataset is generated using (i) bathymetric data and (ii) simulated data based on satellite data indicating one or more coastal ecosystems; and training the machine learning model using (i) the first training input and (ii) second training input, such that the machine learning model is trained to predict biomass growth.

    Underwater camera biomass prediction aggregation

    公开(公告)号:US11842473B2

    公开(公告)日:2023-12-12

    申请号:US17457338

    申请日:2021-12-02

    CPC classification number: G06T7/0004 A01K61/95 G06N3/08

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for underwater camera biomass prediction aggregation. In some implementations, an exemplary method includes obtaining images of fish captured by an underwater camera; providing data of the images to a trained model; obtaining output of the trained model indicating the likelihoods that the biomass of fish are within multiple ranges; combining likelihoods of the output based on one or more ranges common to likelihoods of two or more fish to generate a biomass distribution; and determining an action based on the biomass distribution.

    UNDERWATER CAMERA BIOMASS PREDICTION AGGREGATION

    公开(公告)号:US20240303799A1

    公开(公告)日:2024-09-12

    申请号:US18490383

    申请日:2023-10-19

    CPC classification number: G06T7/0004 A01K61/95 G06N3/08

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for underwater camera biomass prediction aggregation. In some implementations, an exemplary method includes obtaining images of fish captured by an underwater camera; providing data of the images to a trained model; obtaining output of the trained model indicating the likelihoods that the biomass of fish are within multiple ranges; combining likelihoods of the output based on one or more ranges common to likelihoods of two or more fish to generate a biomass distribution; and determining an action based on the biomass distribution.

    MONOCULAR UNDERWATER CAMERA BIOMASS ESTIMATION

    公开(公告)号:US20230337640A1

    公开(公告)日:2023-10-26

    申请号:US17729703

    申请日:2022-04-26

    CPC classification number: A01K61/95 A01K61/80 A01K61/10 A01K29/005 G06T7/593

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for monocular underwater camera biomass estimation. In some implementations, an exemplary method includes obtaining a plurality of images of fish captured by a monocular underwater camera; providing the plurality of images that were captured by the monocular underwater camera to a first model trained to detect one or more fish within the plurality of images; generating one or more values for each detected fish as a set of values; generating a biomass distribution of the fish based on the set of values; and determining an action based on the biomass distribution.

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