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CutMix augmentation for Object Detection task.

See original GitHub issue

[Reposting from here as a future reference for potential contributor].

CutMix - Paper - Cited by ~ 865 MixUp - Paper - Cited by ~ 2675


Currently, this aug can be applied to classification tasks but as the kerascv sets the target to general vision task, that’s why to support vision tasks like object detection, we may need to add utility to accept the bbox_params argument too.

example of mixup-object-detection - region=full-images image

example of mixup-object-detection - region=random image

example of cutmix-object-detection Screenshot 2022-01-08 214414

ref: https://www.kaggle.com/ankursingh12/data-augmentation-for-object-detection ref: https://www.kaggle.com/shonenkov/oof-evaluation-mixup-efficientdet

Issue Analytics

  • State:open
  • Created 2 years ago
  • Reactions:1
  • Comments:6 (5 by maintainers)

github_iconTop GitHub Comments

1reaction
bhackcommented, Jan 11, 2022

I found a reference in section 2.3.9 of:

https://arxiv.org/abs/2106.07085

0reactions
LukeWoodcommented, Apr 11, 2022

This is now available for MixUp, need CutMix still

Read more comments on GitHub >

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