Manufacturing method of learning data, learning method, learning data manufacturing apparatus, learning apparatus, and memory medium
AssigneeCanon Kabushiki Kaisha
InventorTakashi Oniki
Life of this patent
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Abstract
A manufacturing method of learning data is used for making a neural network perform learning. The manufacturing method of learning data includes a first acquiring step configured to acquire an original image, a second acquiring step configured to acquire a first image as a training image generated by adding blur to the original image, and a third acquiring step configured to acquire a second image as a ground truth image generated by adding blur to the original image. A blur amount added to the second image is smaller than that added to the first image.
Claims14
A manufacturing method of learning data used for making a neural network perform learning, the manufacturing method of learning data comprising:
- a first acquiring step configured to acquire an original image;
- a second acquiring step configured to acquire a first image as a training image generated by adding blur to the original image;
- and
- a third acquiring step configured to acquire a second image as a ground truth image generated by adding blur to the original image,
- wherein a blur amount added to the second image is smaller than that added to the first image.
A learning data manufacturing apparatus which manufactures learning data used for learning of a neural network, the learning data manufacturing apparatus comprising at least one processor or circuit configured to execute a plurality of tasks including:
- a first acquisition task configured to acquire an original image;
- a second acquisition task configured to acquire a first image generated by adding blur to the original image;
- and
- a third acquisition task configured to acquire a second image generated by adding blur to the original image,
- wherein a blur amount added to the second image is smaller than that added to the first image.
Dependencies are inferred from the claim text.