问题
I am using automl from google using a custom dataset. The dataset consists of images collected by me. However, manually labelling the image take some time, so I would like to enlarge the dataset by image augmentation, such as rotation and blurring. Does automl perform augmentation behind the screen automatically?
回答1:
AutoML does few types of data augmentation. This is implementation detail and may change in the future without notice, basic augmentations that are used are:
- random resizes / crops
- random flip left right
- random color and brightness distortions
- more may be used / added in the future
If doing data augmentation on your side please follow best practices:
- if you augment image - please put all augmentations of the same image in the same part of the dataset (TRAIN, VALIDATION, TEST) - otherwise the model can overfit without noticing (if almost the same image is in TRAIN and VALIDATION set)
- do transformations that are meaningful in your context - for example rotations - if in typical use-case you don't get rotated images or objects that are rotated - then training model to detect rotated images may not help your application (for example if you never see people who are upside down in your real application - than training with people who are upside down may not benefit your end model).
来源：https://stackoverflow.com/questions/52177719/does-google-automl-do-image-augmentation-automatically