Live data from Hacker News

Launch HN: Segments.ai (YC W21) – Build better datasets for image segmentation

news.ycombinator.com

11–20 of 30 posts

Re: Launch HN: Segments.ai (YC W21) – Build better datasets for image segmentation

#11
post #9

Hi Bert and Otto, As a fellow belgian, I have been following you and segments closely. Congrats on being the first belgian YC company :). From the beginning onwards I was wondering why you chose to put such an emphasis on segmentation labelling. Do you see this usecase as the Computer Vision application with the biggest (future) market or maybe the least saturated offering at the moment?

Thanks! The existing tools on the market for image segmentation are not very sophisticated, so it's a niche where we can immediately make a difference.

In a sense, image segmentation labels are strictly more informative than bounding box labels: you can trivially extract the containing bounding box from a segmentation mask. One big reason that segmentation labels are not used more often, is simply because they are too expensive. Labeling a bounding box requires only two clicks, while labeling a segmentation mask requires much more time with manual tools. We're trying to solve that problem.

In the future we want to dig even deeper into this problem, and expand our scope to video and 3D segmentation labeling. We believe there will be a huge need for such tools now that everyone is getting smartphones with Lidar and AR/VR capabilities in their pockets.

Re: Launch HN: Segments.ai (YC W21) – Build better datasets for image segmentation

#13

Love what I’ve seen so far, I’ve tried superannotate but ended up opting to build my own AI assisted tools into label box, excited to potentially try this out.

Looking forward to hearing your feedback when you give it a try!

Re: Launch HN: Segments.ai (YC W21) – Build better datasets for image segmentation

#15
Any recommendations for learning image segmentation for medical images? I would like to learn how to use a pre-trained Keras model like FCN or U-Net. However, most of the resources I've found so far are a bit harder to grasp. Right now, I am reading 'Deep Learning with PyTorch'. The second part of the book covers image segmentation in great detail, but sometimes is too dense. I am familiar with CNNs, convolutions, max pooling, and so on, but not with upscaling and skip connections.

Re: Launch HN: Segments.ai (YC W21) – Build better datasets for image segmentation

#16
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.

Re: Launch HN: Segments.ai (YC W21) – Build better datasets for image segmentation

#18
post #12

Hey Bert & Otto. It's Brian from Labelbox. Congrats on YC! I'm excited to see what you build next.

hi brian.

will labelbox offer something around image matting?

we need a more precise GT for our datasets.

image segmentation would help, but we would love to automate/outsource the whole image matting process.

thanks.

Re: Launch HN: Segments.ai (YC W21) – Build better datasets for image segmentation

#20
post #16

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…

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.

Post reply on HN