Multi-target in Albumentations

I am one of the authors of the image augmentation library Albumentations. Image augmentations is an interpretable regularization technique. You transform the existing data to generate a new one. You can use the library with PyTorch, Keras, Tensorflow, or any other framework that can treat an image as a numpy array. Multi-target is the situation when every sample consists of a set of different objects.