System and method for generating training cases for image classification
AssigneeGoogle Inc.
InventorsAlexander Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
Life of this patent
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Abstract
A system and method for generating training images. An existing training image is associated with a classification. The system includes an image processing module that performs color-space deformation on each pixel of the existing training image and then associates the classification to the color-space deformed training image. The technique may be applied to increase the size of a training set for training a neural network.
Claims21
(canceled)
A method performed by one or more computers, the method comprising:
- obtaining training data for a neural network, wherein the training data comprises a plurality of base training images and respective classification data for each of the base training images, and wherein the neural network is configured to receive an input image and predict classification data for the input image, wherein each image comprises data representing pixels having a respective color;
- generating one or more color-deformed images from the base training images of the training data;
- and
- adding the one or more color-deformed images to the training data for the neural network.
A system comprising one or more computers and one or more storage devices storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
- obtaining training data for a neural network, wherein the training data comprises a plurality of base training images and respective classification data for each of the base training images, and wherein the neural network is configured to receive an input image and predict classification data for the input image, wherein each image comprises data representing pixels having a respective color;
- generating one or more color-deformed images from the base training images of the training data;
- and
- adding the one or more color-deformed images to the training data for the neural network.
A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
- obtaining training data for a neural network, wherein the training data comprises a plurality of base training images and respective classification data for each of the base training images, and wherein the neural network is configured to receive an input image and predict classification data for the input image, wherein each image comprises data representing pixels having a respective color;
- generating one or more color-deformed images from the base training images of the training data;
- and
- adding the one or more color-deformed images to the training data for the neural network.
Dependencies are inferred from the claim text.