The dataset is constructed from images of defected electrical commutators that were provided and annotated by Kolektor Group d.o.o… Specifically, microscopic fractions or cracks were observed on the surface of the plastic embedding in electrical commutators. The surface area of each commutator was captured in eight non-overlapping images. The images were captured in a controlled environment.
Altogether 399 images: – 52 images of visible defect – 347 images without any defect
Original images of sizes: – width: 500 px – height: from 1240 to 1270 px
For training and evaluation images should be resized to 512 x 1408 px
For each item the defect is only visible in at least one image, while two items have defects on two images, which means there were 52 images where the defects are visible. The remaining 347 images serve as negative examples with non-defective surfaces.
该数据库由七个不同织物结构的245张4096 x 256像素图像组成。数据库中有140个无缺陷图像&＃xff0c;每种类型的织物20个&＃xff0c;除此之外&＃xff0c;有105幅纺织行业中常见的不同类型的织物缺陷&＃xff08;12种缺陷&＃xff09;图像。图像的大尺寸允许用户使用不同的窗口尺寸&＃xff0c;从而增加了样本数量。Internet上的数据库还包含所有具有缺陷的图像的分割mask&＃xff0c;使得白色像素表示缺陷区域&＃xff0c;其余像素为黑色。
Cracks on the bridge(left) and crack on the road surface.
Bridge cracks. There are 2688 images of bridge crack without pixel-level ground truth. From the authors “Liangfu Li Weifei Ma Li Li Xiaoxiao Gao”. Files can be reached by visiting https://github.com/Charmve/Surface-Defect-Detection/tree/master/Bridge_Crack_Image.
Crack on road surface. From Shi, Yong, and Cui, Limeng and Qi, Zhiquan and Meng, Fan and Chen, Zhensong. Original dataset can be reached at https://github.com/Charmve/Surface-Defect-Detection/tree/master/CrackForest. We extract the image files of the pixel level ground truth.
10&＃xff09;磁瓦缺陷数据集 Magnetic tile dataset
Magnetic tile dataset by ourselves. Can be downloaded from https://github.com/Charmve/Surface-Defect-Detection/tree/master/Magnetic-Tile-Defect, which was used in our paper “Surface defect saliency of magnetic tile”, the paper can be reach by here or here
Figure 1. An overview of our dataset.
This is the datasets of the paper “Saliency of magnetic tile surface defects” The images of 6 common magnetic tile defects were collected, and their pixel level ground-truth were labeled.
Figure 2. Example patches from each one of the 28 texture classes.
Short description
28 texture classes, see Figure 2.
160 unique texture patches per class. (Alternative dataset with 12 rotations per each original patch, 160*12&＃61;1920 texture patches per class).
Texture patch size: 576x576 pixels.
File format: Lossless compressed 8 bit PNG.
All patches are normalized with a mean value of 127 and a standard deviation of 40.
One directory per texture class.
Files are named as follows: blanket1-d-p011-r180.png, where blanket1 is the class name, d original image sample number (possible values are a, b, c, or d), p011 is patch number 11, r180 patch rotated 180 degrees.
京公网安备 11010802041100号