Terminology¶
- ROI
A region of interest is a region selected from an image. The region is the focus of the analyses of the images. Selecting regions of interest helps reduce processing time and improve accuracy
- Labeling
Labeling refers to the process of selecting object features or contours from images and adding labels indicating features or defects to the selections, thus telling the model what contents it should learn.
- Dataset
A dataset contains the original data and labelings. In Mech-DLK, datasets are saved in dlkdb files.
- Unlabeled data
Original data without and labelings.
- Training set
The part of the dataset allocated for model training.
- Validation set
The part of the dataset allocated for model validation.
- OK image
In defect defection, an OK image is an image that contains no defects.
- NG image
in defect detection, an NG image is an image that contains any defects.
- Training
Training refers to the process of letting the model learn on the training set.
- Validation
Validation refers to the process of verifying the trained model on the validation set.
- Accuracy
Accuracy refers to the ratio of the number of correctly predicted samples to the total number of samples in the validation set when validating the trained model.
- Loss
Loss is a measure of the inconsistency between the model’s predictions on the validation set and the ground truth of the validation set.
- Epochs
The number of times the model goes through the training set when training.