[skwb]

What incentive is there for medical students to do this work for free? I don't know of any doctor that would just give away all their work for learning. They get plenty of that during their lecture.

Is this supposed to be a product to help ai radiology startups curate and manage their data? If so, are we talking about semantic segmentation, localization, or what sort of label? A lot of the time providing explicit data information will require fewer studies to generalize, but require much more work from labeling side.

I would also wonder about your data sourcing. Just because you don't have an FDA product, doesn't mean you're clear of HIPPA rules. Medical images may contain PII, especially scans that include the face.

Edit: couple of typos...

[erikduhaime]

Our users participate to win cash prizes, to learn, and compete with others. Everyone loves seeing their name on a leaderboard, especially when they can improve their skills and win cash prizes at the same time!

Today we’re building out our annotation tools. We have bounding boxes, localization, and more depending on the task.

Today we use publicly available datasets and depend on our clients to only provide deidentified images. We’re also working to verify certain users to enable them to see cases with PII.