Default augmentation can translate images but not boxes.

[Fafa87]

sometimes(iaa.Affine(...)) is used in default augmentation in master which can rotate and translating the image. Boxes stay on the same place with is bad (especially if you have small boxes).

The fix is to use imaug to move bboxes as well. See https://github.com/experiencor/keras-yolo2/issues/107 or Rodrigo fork https://github.com/rodrigo2019/keras_yolo2 (however mind https://github.com/rodrigo2019/keras_yolo2/issues/20).

[AIWintermuteAI]

Hi! I have noticed this problem as well. Augmentation has been fixed in https://github.com/experiencor/keras-yolo3 or alternatively in my project https://github.com/AIWintermuteAI/aXeleRate which also supports other network types(classifier and segnet). You can check dataset augmentation in colab notebook https://colab.research.google.com/github/AIWintermuteAI/aXeleRate/blob/master/resources/aXeleRate_test_detector.ipynb by executing visualize_dataset(img_folder='aXeleRate/sample_datasets/detector/imgs', ann_folder='aXeleRate/sample_datasets/detector/anns', img_size=None, jitter=True)