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

How to use a custom dataset with this model? #41

Open
Vaibhav-ML opened this issue Oct 1, 2020 · 5 comments
Open

How to use a custom dataset with this model? #41

Vaibhav-ML opened this issue Oct 1, 2020 · 5 comments

Comments

@Vaibhav-ML
Copy link

Hi,
I have my own dataset. Folder Structure is as follows

Data -
Folder 1(contains images and csv,json file)
Folder 2 (same as above)
.
.
Folder N(contains images and csv,json file)

How do I use my own dataset with this model?

@yaoyao-liu
Copy link
Owner

Hi @Vaibhav-ML,

Sorry for the late reply.
If you need to run our code on your own dataset, you may revise the files in meta-transfer-learning/tensorflow/data_generator folder according to your dataset. If you have any further questions, feel free to add comments on this issue or email me.

Best,
Yaoyao

@Vaibhav-ML
Copy link
Author

Vaibhav-ML commented Oct 6, 2020 via email

@yaoyao-liu
Copy link
Owner

Hi @Vaibhav-ML,

Our method cannot directly work on object detection tasks. As I am not working on object detection, I am not able to give you advice on that. Maybe you can follow the papers like this one.

Best.
Yaoyao

@Vaibhav-ML
Copy link
Author

Vaibhav-ML commented Oct 6, 2020 via email

@yaoyao-liu
Copy link
Owner

Exactly. Most of the few-shot learning papers evaluate their method on classification, some also provide results for reinforcement learning, e.g., MAML. However, I seldom see papers titled "few-shot learning" evaluate their method on the object detection task. If they run experiments on object detection, they usually directly specify "few-shot object detection" in the title of the paper.

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