added data_skew_solution_preprocess_augmentation_script.ipynb

[insigh1]

Description

This script pulls dataset out of Roboflow workspace and creates augmentations of underrepresented classes. It does this by creating a mask of individual labels in an image and adding padding pixels. The image is saved as a jpeg and has augmentations to balance out the classes.

This was run on Google Colab with Yolov8 format

Type of change

Please delete options that are not relevant.

• [ ] Bug fix (non-breaking change which fixes an issue)
• [ ] New feature (non-breaking change which adds functionality)
• [ ] This change requires a documentation update

How has this change been tested, please provide a testcase or example of how you tested the change?

YOUR_ANSWER

Any specific deployment considerations

For example, documentation changes, usability, usage/costs, secrets, etc.

Docs

• [ ] Docs updated? What were the changes: