If I want to train from scratch ,what kind of data should be prepared?

[liuchangf]

Hello There:

Great Job! A novel idea in Polygonal Building Extraction as I know . In traditional segmentation , training data include two kinds of data ,one is image ( usually is RGB image) ,another is one channel label( the same size with the image ,but only one channel ,every pixel store a number for a certain class). In your case (this repo) ,I'm confusing what kind of data should be prepared , there is no doubt that image will be one of them,but how about others ,there is no details in your paper. In readme, I find the dir structe , I think images is for images just like segmentation, but how about gt? Is this gt is same as label in the segmentation? what is ge polygonized? I found there is all *.geojson files in the folder ,what are they for ? I found *.npy files in aligned_gt_polygons_2 and gt_polygons , what are these files for ? Waiting for your kindly reply , than you in advance!

[aymanaboghonim]

did you solve this problem ?

[franz-waldner]

Also interested in an answer :)