Computer-implemented method for training of an image content recognition algorithm
AssigneeSick Ivp AB
InventorErik HEDBERG
Life of this patent
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Abstract
The present invention relates to a computer-implemented method for training of an image object recognition algorithm of a machine vision system (100), said machine vision system (100) being operative to recognize at least one object (203) in images (202) captured by the machine vision system (100). The present invention further relates to a computer program product (1001) comprising computer program code, the computer program code being adapted, if executed by a processor (1002), to perform the various methods according to the present disclosure and a machine vision system (100) being operative to recognize at least one object (203) in captured images, configured to execute the computer program product (1000).
Claims15
A computer-implemented method for training of an image object recognition algorithm of a machine vision system (100), said machine vision system (100) being operative to recognize at least one object (203) in images captured by the machine vision system (100), said method comprising:
- obtaining (S1) a plurality of images wherein at least one image (202) comprises the at least one object (203),
- providing (S2) a first annotation (204) for a first set of the plurality of images, said first annotation (204) providing information about the at least one object (203),
- providing (S3) a second annotation (205) for at least a second set of the plurality of images, said second annotation (205) providing information of a different type than the first annotation (204) about the at least one object (203),
- training (S5) said image content recognition algorithm using said first and second annotations (204, 205).
Dependencies are inferred from the claim text.