Object detection models adjustments
AssigneeHewlett-Packard Development Company, L.P.
InventorsHong-Wei Chou, Pei-Yuan Chien, Peter Siyuan Zhang
Life of this patent
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Abstract
Examples of electronic devices are described herein. In some examples, an electronic device includes a processor to generate an evaluation image dataset to determine precision of a machine learning object detection model. In some examples, the processor is to run the evaluation image dataset on the object detection model to identify a misdetection region in the evaluation image dataset. In some examples, the processor is to generate a training image dataset to adjust the object detection model based on the identified misdetection region.
Claims15
An electronic device, comprising:
- a processor to:
- generate an evaluation image dataset to determine precision of a machine learning object detection model;
- run the evaluation image dataset on the object detection model to identify a misdetection region in the evaluation image dataset;
- and
- generate a training image dataset to adjust the object detection model based on the identified misdetection region.
An electronic device, comprising:
- memory to store a background image;
- and
- a processor to:
- determine a grid of cells to divide the background image;
- generate an evaluation image dataset based on a placement of a target object within the grid of cells;
- run the evaluation image dataset on an object detection model to identify a misdetection region in the evaluation image dataset;
- and
- generate a training image dataset to adjust the object detection model based on the identified misdetection region.
A non-transitory tangible computer-readable medium comprising instructions when executed cause a processor of an electronic device to:
- find a blind spot in an object detection model;
- generate a training image dataset having a target object positioned in a cell of the blind spot;
- and
- update the object detection model by transfer learning using the training image dataset.
Dependencies are inferred from the claim text.