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How to label my own dataset for Unet?

Open THULiusj opened this issue 6 years ago • 9 comments

If I want to use Unet to train my own dataset, how to label it?

THULiusj avatar Nov 29 '18 03:11 THULiusj

@THULiusj There are many annotation tool you can use according to your need(whether you need to label images using polygon or rectangle shape). You can look here to choose best according to your need. https://github.com/mrgloom/awesome-semantic-segmentation Go to Annotation tool below in the link.

matsujju avatar Nov 29 '18 04:11 matsujju

Thanks @matsujju ,but if I want to train with Unet, polygon or rectangle is not enough. I have to generate an image with white background and black edge. Not sure how to draw that.

THULiusj avatar Nov 29 '18 04:11 THULiusj

@THULiusj They will do that. Just read the tutorials before using them according to the format you want.

matsujju avatar Nov 29 '18 06:11 matsujju

Thanks @matsujju , found it, will explore it!

THULiusj avatar Nov 29 '18 06:11 THULiusj

@THULiusj what tool did you used to create binary (black and white) images for u-net training? I am interesting in this too, in order to obtain BW labelled images in tif format.

ciacci avatar Jan 02 '19 19:01 ciacci

hello, how to convert 30 predicted images into one tif image? Thanks.

jizhang02 avatar Mar 19 '19 14:03 jizhang02

@THULiusj what tool did you used to create binary (black and white) images for u-net training? I am interesting in this too, in order to obtain BW labelled images in tif format.

labelme is good

cena001plus avatar May 28 '19 03:05 cena001plus

Hi, I tried to use labelme, but it returns json file. How to convert it to binary masking? Or should I try different tool?

Subhajyotidas avatar Mar 05 '21 08:03 Subhajyotidas