Automated training data quality process
AssigneeLytx, Inc.
InventorJesse Daniels
Life of this patent
Estimating the term…
Abstract
A system for updating training data includes an interface and a processor. The interface is configured to receive a set of vehicle data. The set of vehicle data includes images and assigned labels associated with the images. The processor is configured to determine a set of training data and a set of test data from the set of vehicle data; train a model with the set of training data; determine a set of predicted labels for the set of vehicle data using the model; identify a set of potential mislabeled data using the set of predicted labels and the assigned labels; and determine an updated set of training data by relabeling the set of potential mislabeled data and replacing the set of potential mislabeled data with a relabeled set of data.
Claims12
A system for updating training data, comprising:
- an interface configured to receive a set of vehicle data, wherein the set of vehicle data includes images and assigned labels associated with the images;
- a processor;
- a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to:
- determine a set of training data and a set of test data from the set of vehicle data;
- train a model with the set of training data;
- determine a set of predicted labels for the set of vehicle data using the model;
- identify a set of potential mislabeled data using the set of predicted labels and the assigned labels;
- and
- determine an updated set of training data by relabeling the set of potential mislabeled data and replacing the set of potential mislabeled data with a relabeled set of data.
A method for updating training data, comprising:
- receiving a set of vehicle data, wherein the set of vehicle data includes images and assigned labels associated with the images;
- determining, using a processor, a set of training data and a set of test data from the set of vehicle data;
- training a model with the set of training data;
- determining a set of predicted labels for the set of vehicle data using the model;
- identifying a set of potential mislabeled data using the set of predicted labels and the assigned labels;
- and
- determining an updated set of training data by relabeling the set of potential mislabeled data and replacing the set of potential mislabeled data with a relabeled set of data.
A computer program product for video processing, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
- receiving a set of vehicle data, wherein the set of vehicle data includes images and assigned labels associated with the images;
- determining, using a processor, a set of training data and a set of test data from the set of vehicle data;
- training a model with the set of training data;
- determining a set of predicted labels for the set of vehicle data using the model;
- identifying a set of potential mislabeled data using the set of predicted labels and the assigned labels;
- and
- determining an updated set of training data by relabeling the set of potential mislabeled data and replacing the set of potential mislabeled data with a relabeled set of data.
Dependencies are inferred from the claim text.