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

Self supervised fine-tuning on custom dataset #392

Closed
nidoebel opened this issue Mar 13, 2024 · 1 comment
Closed

Self supervised fine-tuning on custom dataset #392

nidoebel opened this issue Mar 13, 2024 · 1 comment

Comments

@nidoebel
Copy link

Is there a way to fine-tune DinoV2 for specific domain using an unlabeled dataset? Since the original model was trained with self supervision I thought this should be possible, but I have not found a way to do it.

The reason why I have unlabeled datasets is because the embeddings created with the fine-tuneing model should then be used for image similarity search with FAISS.

Thanks!!

@qasfb
Copy link
Contributor

qasfb commented May 13, 2024

We haven't explored much how to fine-tune using SSL on a custom dataset.
My recommendation would be to run a short dinov2 training, and use one of the pretrained models as initialization, but I don't have a good recipe for that.

@qasfb qasfb closed this as completed May 13, 2024
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