Two research teams, consisting of three doctors and three masters, presented their research results respectively. Intelligent crack defect recognition based on deep learning, and through further investigation and experiments, has greatly improved the crack recognition rate, false positive rate and other indicators!

At the pre-match meeting, Teacher Che explained the rules of the competition and the rules of scoring. Subsequently, the team PK competition in an orderly manner.

The judge will provide 1000 negatives (ten of which have crack defects) for prediction. After receiving the hard disks with negatives, the two groups methodically imported the image data into the device and began to execute the defect prediction program. After the program was executed, the judges finally judged the experimental results of the two groups. The competition went smoothly and ended perfectly.

After the competition, Teacher Che commented on the competition results of the two groups from different angles and raised questions. She hoped that the two groups could learn from the advantages of the other team and realize the shortcomings of their own team. Finally, she hoped that everyone could make persistent efforts to achieve excellent results in scientific research.