Machine learning method and apparatus
First Claim
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1. A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, the machine learning method comprising:
- extracting learning images including a target object among a plurality of learning images included in a learning database;
obtaining information on a distribution of aspect ratios of bounding boxes of the target object in the learning images including the target object;
generating additional learning images in which the target object is rotated from the learning images including the target object; and
updating the learning database using the additional learning images.
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Abstract
A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, includes extracting learning images including a target object among a plurality of learning images included in a learning database, generating additional learning images in which the target object is rotated from the learning images including the target object, and updating the learning database using the additional learning images.
14 Citations
17 Claims
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1. A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, the machine learning method comprising:
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extracting learning images including a target object among a plurality of learning images included in a learning database; obtaining information on a distribution of aspect ratios of bounding boxes of the target object in the learning images including the target object; generating additional learning images in which the target object is rotated from the learning images including the target object; and updating the learning database using the additional learning images. - View Dependent Claims (2, 3, 4, 5)
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6. A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, the machine learning method comprising:
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extracting learning images including a target object among a plurality of learning images included in a learning database; determining an image type of the target object; determining learning parameters for the learning images including the target object based on the image type of the target object; and generating a bounding box formation model based on the learning database and the learning parameters, wherein, in the determining an image type of the target object, information on specifications of bounding boxes of the target object in the learning images including the target object is obtained, and the image type of the target object is determined based on the information on specifications of bounding boxes. - View Dependent Claims (7, 8)
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9. A machine learning apparatus for learning how to form bounding boxes, comprising a processor and a memory storing at least one instruction executed by the processor, wherein the at least one instruction is configured to:
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extract learning images including a target object among a plurality of learning images included in a learning database; obtain information on a distribution of aspect ratios of bounding boxes of the target object in the learning images including the target object; generate additional learning images in which the target object is rotated from the learning images including the target object; and update the learning database using the additional learning images. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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Specification