Method and assistance system for checking samples for defects

An assistance system for checking samples for defectiveness by a defect recognition device, which records image data of the samples to be checked and classifies the image data associated with the samples into predefinable defect categories by a defect recognition algorithm, wherein a number of the samples classified in the defect categories are presentable in a multi-dimensional confusion matrix as a classification result of the defect recognition algorithm, the assistance system comprising:

• at least one processing unit having at least one storage unit, wherein the processing unit is configured
• to assign miniature images which reproduce the image data associated with the samples, according to the classified defect categories of the image data, to segments of the multi-dimensional confusion matrix which represent the predefinable defect categories, wherein the multi-dimensional confusion matrix comprises a first axis representing defect categories classified by the defect recognition algorithm and a second axis representing defect categories assigned by a user or software robot, and wherein the miniature images are visually embedded within individual matrix segments defined by intersections of the first axis and the second axis, and to present the miniature images visually within the segments, and, as a function of assigning the miniature images, a size of the miniature images is adapted to optically fit into the segment, wherein each miniature image is a thumbnail representation of image data of a respective sample that is visually embedded within a matrix segment corresponding to the sample's classified defect category,
• to assign a miniature image, by way of an interaction with a user or a software robot, into a different segment than the assigned segment of the multi-dimensional confusion matrix, wherein the assigning comprises dragging and dropping the miniature image from one matrix segment to another matrix segment within the multi-dimensional confusion matrix, either to provide the miniature image as training image data for the defect recognition algorithm in the at least one storage unit or to provide the miniature image as training image data for the defect recognition algorithm in the at least one storage unit and to output the miniature image at an output unit.