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Constant data-spacing #1
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This is in progress and will be part of the April 15 release. Our plan is to interpolate to the overall medians of slice thickness and pixel width. That will be a slice thickness of 3.0 mm and a pixel width of 0.781625 mm. The testing set release will also include a copy of the data transformed to this spacing. For evaluation, participants will be allowed to submit predictions either in original spacing or in median spacing. |
Unfortunately we're going to have to push this back to April 22 to finish ironing out the kinks with the interpolation method. Since we will be evaluating teams based on these labels, we want to make sure we hold them to the same standard as the labels in original spacing, and right now a handful of cases are exhibiting some pesky artifacts. Thanks for your patience while we work through them. The amended labels in original spacing will be released today as planned. |
The data at constant spacing has been pushed to a new branch called
If you have not yet cloned the repository and you would only like to download only the interpolated data, you can use
On my machine, the interpolated data occupies roughly 50GB. Enjoy! |
Hi @neheller , I have installed Would it be possible for you to give me some insights on what's wrong with my download? |
Interesting, I'm not a windows user so I'm not really sure what the problem is here. Can anyone else shed some light? When I originally tested the LFS functionality on Windows I used the GitHub GUI and it worked without issue. |
Black magic! |
React with a 👍 if you would find useful a separate branch(es) with the data and labels transformed to fixed
pixel_width
andslice_thickness
.The text was updated successfully, but these errors were encountered: