Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Inria dataset validation set #654

Closed
calebrob6 opened this issue Jul 6, 2022 · 0 comments · Fixed by #1540
Closed

Inria dataset validation set #654

calebrob6 opened this issue Jul 6, 2022 · 0 comments · Fixed by #1540
Labels
datamodules PyTorch Lightning datamodules datasets Geospatial or benchmark datasets
Milestone

Comments

@calebrob6
Copy link
Member

https://project.inria.fr/aerialimagelabeling/contest/ says, "For validation, we suggest to remove the first five images of every location (e.g., austin{1-5}.tif, chicago{1-5}.tif) from the training set."

It would be nice to implement this in our Dataset, then have the option to ignore it or not in the DataModule (i.e. when you want to train with as many labels as possible).

@calebrob6 calebrob6 added datasets Geospatial or benchmark datasets datamodules PyTorch Lightning datamodules labels Jul 6, 2022
@adamjstewart adamjstewart modified the milestone: 0.5.0 Sep 24, 2023
@adamjstewart adamjstewart added this to the 0.5.0 milestone Sep 29, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
datamodules PyTorch Lightning datamodules datasets Geospatial or benchmark datasets
Projects
None yet
Development

Successfully merging a pull request may close this issue.

2 participants