System and method for facilitating efficient damage assessments
AssigneeAlibaba Group Holding Limited
InventorJuan Xu
Life of this patent
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Abstract
Embodiments described herein provide a system for facilitating image sampling for training a target detector. During operation, the system obtains a first image depicting a first target. Here, the continuous part of the first target in the first image is labeled and enclosed in a target bounding box. The system then generates a set of positive image samples from an area of the first image enclosed by the target bounding box. A respective positive image sample includes at least a part of the first target. The system can train the target detector with the set of positive image samples to detect a second target from a second image. The target detector can be an artificial intelligence (AI) model capable of detecting an object.
Claims20
A method for facilitating image sampling for training a target detector, comprising:
- obtaining a first image depicting a first target, wherein a continuous part of the first target in the first image is labeled and enclosed in a target bounding box;
- generating a set of positive image samples from an area of the first image enclosed by the target bounding box, wherein a respective positive image sample includes at least a part of the first target;
- and
- training the target detector with the set of positive image samples to detect a second target from a second image, wherein the target detector is an artificial intelligence (AI) model capable of detecting an object.
A non-transitory computer-readable storage medium storing instructions that when executed by a computer, cause the computer to perform a method for facilitating image sampling for training a target detector, the method comprising:
- obtaining a first image depicting a first target, wherein a continuous part of the first target in the first image is labeled and enclosed in a target bounding box;
- generating a set of positive image samples from an area of the first image enclosed by the target bounding box, wherein a respective positive image sample includes at least a part of the first target;
- and
- training the target detector with the set of positive image samples to detect a second target from a second image, wherein the target detector is an artificial intelligence (AI) model capable of detecting an object.
Dependencies are inferred from the claim text.