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

Training dataset size #7

Open
FraPochetti opened this issue Apr 26, 2021 · 2 comments
Open

Training dataset size #7

FraPochetti opened this issue Apr 26, 2021 · 2 comments

Comments

@FraPochetti
Copy link

Hi!
Thanks a lot for the great work here.
Would you mind sharing how big was the dataset you used to train your model?
Also, which strategies did you use to create the 440x440 images you used for training?
Simply resizing original pics + alpha mattes or random cropping to preserve size ratios?

Thanks a lot again and have a great one!

@dbpprt
Copy link
Owner

dbpprt commented Apr 26, 2021

Hey @FraPochetti,

thanks for your interest. The augmentation pipeline is part of the configuration files (dataset.yaml). The published model was trained on roughly 30k quite noisy samples. The model is overall able to pick up the details even though the synthesized dataset was quite noisy but you will most likely not reach visually perfect quality with this approach.

@xiongzhu666
Copy link

Hey @FraPochetti,

thanks for your interest. The augmentation pipeline is part of the configuration files (dataset.yaml). The published model was trained on roughly 30k quite noisy samples. The model is overall able to pick up the details even though the synthesized dataset was quite noisy but you will most likely not reach visually perfect quality with this approach.

Hi~ @dennisbappert,
in your project, the mask of training is binary(0/255)?? or alpha mask(0255)??
thanks
best regards
in your project, the mask of training is binary(0/255)?? or alpha mask(0
255)??
thanks
best regards

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

No branches or pull requests

3 participants