Invention Grant
- Patent Title: Generation of training data from a single image
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Application No.: US17106028Application Date: 2020-11-27
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Publication No.: US11741592B2Publication Date: 2023-08-29
- Inventor: Joaquin Zepeda Salvatierra , Anant Patel , Shaun Ryan James McDowell , Prakash Krishnan , Ranju Das , Niels Brouwers , Barath Balasubramanian
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/11 ; G06T7/174

Abstract:
Techniques for anomaly detection are described. An exemplary method includes receiving a request to create a training data set from at least one image, the request to include an indication of the at least one image and at least one indication of an operation to perform on the at least one image to generate a plurality of images from the at least one image; creating a training dataset by extracting one or more chunks from a first at least one image according to the request; and receiving one or more requests to train an anomaly detection machine learning model using the created training dataset; and training an anomaly detection machine learning model according to one or more requests using the created training data.
Public/Granted literature
- US20220172342A1 GENERATION OF TRAINING DATA FROM A SINGLE IMAGE Public/Granted day:2022-06-02
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