A key challenge of object detection in practice is that there is only a limited number of images for training. Data augmentation techniques such as cropping, translation, and horizontal flipping are commonly used in deep learning for computer vision tasks. Moreover, data augmentation also acts as a regularizer to combat overfitting. However, less attention has been directed to discovering data...