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

Using semi-supervised method(pseudo labelling) to label the unlabeled in-class dataset. #13

Open
cosmo3769 opened this issue May 13, 2022 · 2 comments

Comments

@cosmo3769
Copy link
Owner

cosmo3769 commented May 13, 2022

As we have less labeled data(only 3959), we have to increase our training dataset by using the unlabeled dataset using some semi-supervised method(pseudo labelling here).

@ayulockin
Copy link
Collaborator

Is this issue for tracking the progress of psuedo-labelling? @cosmo3769

@cosmo3769
Copy link
Owner Author

Is this issue for tracking the progress of psuedo-labelling? @cosmo3769

Yes.

@cosmo3769 cosmo3769 changed the title Using semi-supervised method to label the unlabeled in-class dataset. Using semi-supervised method(pseudo labelling) to label the unlabeled in-class dataset. May 15, 2022
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

2 participants