Compared with the more than 14 million sample data in the ImageNet dataset, the most critical problem faced in surface defect detection issmall sample problem. In many real industrial scenarios, there are even only a few or dozens of defective images. In fact, for the small sample problem wh...
THE MVTEC ANOMALY DETECTION DATASET 参考资料 https://github.com/Charmve/Surface-Defect-Detection
There are several different surfaces, each surface contains one or several defects. For image segmentation, object detection, saliency detection, classification, etc. The image datasets are: Magnetic tile dataset Magnetic tile dataset by ourselves. Can be downloaded fromhttps://github.com/abin24/Magn...
Abstract: Previous works for PCB defect detection based on image difference and image processing techniques have already achieved promising performance. However, they sometimes fall short because of the unaccounted defect patterns or over-sensitivity about some hyper-parameters. In this work, we design ...
particularly when both predictions and labels are close to zero. For our dataset, the data in each batch do not contain all classes, leading to very noisy training error. The cross entropy loss, on the other hand, allows the absent classes to affect the backpropagation less than the dice ...
There are several different surfaces, each surface contains one or several defects. For image segmentation, object detection, saliency detection, classification, etc. The image datasets are: Magnetic tile dataset Magnetic tile dataset by ourselves. Can be downloaded fromhttps://github.com/abin24/Magn...
It is worth noting that CDI-YOLO shows higher detection accuracy on the PCB Defect dataset. This proves that CDI-YOLO can solve the problems that the existing methods cannot achieve at the same time in terms of high detection accuracy, fast detection, and fewer parameters, making it a ...
particularly when both predictions and labels are close to zero. For our dataset, the data in each batch do not contain all classes, leading to very noisy training error. The cross entropy loss, on the other hand, allows the absent classes to affect the backpropagation less than the dice ...
However, as the detection systems are deployed on edge devices in complex environments, there exist several practical challenges in terms of real-time speed, detection performance and computational overhead. This study first provides a dataset captured by real-time and vehicle-mounted camera system. ...
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance. - add Severstal: Steel Defect Detection dataset · lpf2215/YOLOV5-Surface-De