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

Does the model use data augmentation strategies when training? #10

Open
ahong007007 opened this issue Sep 17, 2021 · 1 comment
Open
Labels
enhancement New feature or request

Comments

@ahong007007
Copy link

Thank you for your hard work and spiritual welfare. Does the model use data augmentation strategies when training? How to increase the data augmentation strategy?

Thank you very much.

@ahong007007 ahong007007 added the enhancement New feature or request label Sep 17, 2021
@xingyizhou
Copy link
Owner

Yes, we use the default detectron2 data augmentation (random resize) specified here.
You can increase the sizes here (usually increase from 480-960 helps). You can also enable random crops. See the detectron2 documentations for detauls.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants