Method for inspecting labeling on bounding box by using deep learning model and apparatus using same

A computing apparatus, which is an apparatus for inspecting a labeling operation, in which a deep learning model for inspecting the labeling operation for a bounding box corresponding to an object included in an image is present, and the computing apparatus uses the deep learning model, the computing apparatus comprising:

• a communication unit for transmitting and receiving information to and from an operation terminal;
• and
• a processor for performing first training on the deep learning model based on a training image, obtaining an operation image and a bounding box labeling value for the operation image, calculating an inspection score by performing calculation while passing the operation image and the bounding box labeling value through the deep learning model, determining whether the bounding box labeling value for the operation image is accurate based on the inspection score, and performing any one of pass processing, fail processing, and re-inspection processing,
• wherein, upon a first pair of threshold values provided where a first threshold value of the pair is greater than a second threshold value of the pair, the processor is configured to:
• perform the pass processing on the operation image and the bounding box labeling value when the inspection score is greater than or equal to the first threshold value;
• perform the re-inspection processing on the operation image and the bounding box labeling value when the inspection score is less than the first threshold and greater than or equal to the second threshold value;
• and
• perform the fail processing on the operation image and the bounding box labeling value when the inspection score is less than the second threshold value;
• and
• wherein, the computing apparatus determines who is qualified to perform the re-inspection processing according to various levels of the labeling operation difficulty by (1) arranging a second pair of threshold values within the first and second threshold values and (2) finding a location of the inspection score within a particular range of the threshold values of the first and second pairs, in which third and fourth threshold values of the second pair are less than the first threshold value and greater than the second threshold value, respectively, and the third threshold value is greater than the fourth threshold value.