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i think it would add a lot of value to have one dataset with more than a handful of domains/centers, as well as possibly one non-medical one
iWildCam would tick both boxes, with 323 centers
it's already part of wilds: https://wilds.stanford.edu/datasets/ so probably wouldn't be too much work to integrate (and licence already clear as well)
Hello @martinjaggi this is indeed a suitable candidate. However I have a few problems with it:
I would consider 323 as cross-device (more than 100), we could obviously group cameras by geo-information if it is available. Of course this is debatable.
it is not healthcare related, which is good in general but considering the time we have and the other datasets we need to find at least a second dataset that is not healthcare so that it is coherent. This is again debatable maybe as you say one is sufficient.
i think it would add a lot of value to have one dataset with more than a handful of domains/centers, as well as possibly one non-medical one
iWildCam would tick both boxes, with 323 centers
it's already part of wilds: https://wilds.stanford.edu/datasets/ so probably wouldn't be too much work to integrate (and licence already clear as well)
refs:
The iWildCam 2021 Competition Dataset
https://arxiv.org/abs/2105.03494
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