[gkk]

Hi,

Excited to see you launching this! I agree on the basic premise: existing tools for segmentation labeling leave copious room for an improvement.

I just gave Segments a spin with an image data I work on at the moment. First impressions:

1. When trying to connect segments (by dragging), I seem to lose the original segment

2. Your model seems to be confused by noisy data that I happened to upload - it's a microscopy image. To a human eye it's quite clear what the areas of interest are.

[bertdb]

Thanks for your feedback!

1. If the segment you start dragging from is already selected, all the segments you drag through will get deselected, and vice versa.

2. Did you try changing the granularity of the segments by scrolling your mouse wheel? We've had good experiences with microscopic imagery before, happy to connect and dig a bit deeper.

[gkk]

Thanks for a quick reply!

1. Oh, I see. I didn't guess that's the intended behaviour. I wonder if it's not too clever.

2. Yes, then segments get too "excited" about the background noise. I would be able to make it work but with loads of manual tweaking which is, as I understand, the pain Segments wants to alleviate.

[bertdb]

The segments you see on the screen are generated by our ML model. If your data is very noisy, our out-of-the-box model might not be the best fit. We can always improve performance by training a custom model for you on a small set of manually labeled data though.