Skip to content

Default Image Data Augmentation #70

Open
@basedrhys

Description

@basedrhys

Is your feature request related to a problem? Please describe.
A common technique when training a CNN is to perform data augmentation (crop/shear/rotate/etc.) to improve the model's generalisability. This currently doesn't exist in WDL4J

Describe the solution you'd like
Some reasonable default augmentation methods to apply to the image data during training.

Additional context
Fast.ai has some good examples

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions