It is related to subpixel labelling. When a line/curve in the foreground is smaller than a pixel you end up having to edit the mask one pixel at a time. The authors of DIS are working on a new dataset and model which should work for my use case.
BTW, I used DIS to create the labels of a batch of 20 images, I manually corrected the labels and used them to fine tune a new model. That worked well but still it took me several hours to edit labels.
I tried using stable diffusion generated labels several weeks ago but I think with controlnet and other advances I should try again.
(My dataset is about 100k images. I probably only need to label about 10k to fine tune DIS).
BTW, I used DIS to create the labels of a batch of 20 images, I manually corrected the labels and used them to fine tune a new model. That worked well but still it took me several hours to edit labels.
I tried using stable diffusion generated labels several weeks ago but I think with controlnet and other advances I should try again.
(My dataset is about 100k images. I probably only need to label about 10k to fine tune DIS).