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tbaybay tqdavid oakyildiz neelchoudhury greiny ichae shubham2994 dredwardlee n0lean huang1ei as472780551 kleyoit zfxu doctorgui ovision chicoou zjz5250 yi-hu-yueh aiplus2019 shreyag12 knifeding liangzhengyucsu davis-love-ai absrana margaritamayoral schaozhang hriddo enyalien zack-m pbp1992 guoshengxu engbryte suprith697 wuxh123 heyuimd branikas sunyu5143 wxd0204 timverion junhyeongjeon t409wu youxiaoyugit bhsphd a349475249 liuyang916 wuyousong2020 chromegle kaanwang edgermj 433zhu ayun28 juhuyan duanexiao rsip4sh a154609 wangjingxiao phillweston stevegang wh315219 mike-rgb gzadigo joke66 chiuyuen-hsui aya-s fengdai000 sudiptadebroy77 benmaxgcu saoruy qiuweibin2005 chengsrc marenan mushui-lin mm7n tek30000 finetooth 15d23 zhangkeon jzhang73 krisandchris zxforchid zakidotai 18435398440 djdebasish93 nine9844 980901473 wisamreid theworld12 hrgentry w64228013 zwk12 easyeye163 6017203291 alvinli-jp jamiuayodejilateef hardcorehenr cdwmgwm xlcsky2 anjireddy1234 neuabaqus liangfengjiaocrackforest-dataset's Issues
How to make ground truth data
We want to make a crack detection dataset and want to know how to make ground truth data (methods ， softwares or tools). Crack ground truth is different from ordinary segmentation ground truth. The shape of crack is so slim to draw contours, while ordinary object, such as human and cat, is easy to draw contours. Thankyou very much!
我们想了解一下如何去做一个裂缝的标注（方法、涉及的软件或者工具等） 。我们知道，裂缝形状很细长， 很难像普通物体一样使用labelme等工具去标注。所以，我们想请问一下你们有没有标注裂缝的比较好的方式。很抱歉，在这个数据集开放了几年后，问这个问题。十分感谢。
Data missing
Hello,
I'm interested in using the dataset. However, there are some missing images (file name) in 'seg' folder that is not in 'image' folder. Can you please double check that?
What are the .seg files in this repository for and how to use them?
segmentation groundTruth label in .mat
Thanks for your great job and kind sharing.
I am currently employing CarckForest, and intend to do some segmentation jobs based on it.
But when I looked into .mat file and check the 'segmentation' part, I find some images are label by [1,2], while others are labeled by [1,2,3] and [1,2,3,4], any explanation on it, please?
Thanks in advance.
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