Data cleaning method, device and equipment and storage medium
By using the confidence prediction model to clean the picture data of PCB board components during the SMT production process, the problems of low manual discrimination efficiency and low accuracy are solved, efficient and accurate data cleaning is achieved, and data set quality and detection accuracy are improved.
Patent Information
- Application Number
- CN202311227476.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-21
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2043-09-21
AI Technical Summary
During the SMT production process, the error problem of image data labels of PCB board components mainly relies on manual judgment, resulting in low discrimination efficiency, large-scale impact on detection results, poor discrimination consistency, wasted a lot of manpower and low detection accuracy.
By collecting component picture data sets, the confidence of the first tag is determined, and the second tag is predicted based on the confidence, and the cleaning of the first tag is performed. The specific steps include inputting component picture data into the prediction model for classification, cross-verification determines the category probability as confidence, and retaining the first label if the confidence is greater than the threshold, otherwise cleaning the first label.
It realizes efficient and accurate data cleaning, improves the quality of data sets, reduces labor costs, improves the speed and accuracy of discrimination, and adapts to the needs of industrial production.