This release represents a major refactoring, introducing domains other than object-detection in images. Another notable change is being able to add filters into the conversion pipeline. This will, e.g., allow the augmentation of datasets while converting them. In terms of object detection datasets, these augmentations can be rotation, cropping, brightening/darkening, etc. Though a lot of frameworks already support basic augmentation transformations, trying to automatically augment bounding boxes rather than object shapes can lead to strange and undesirable artifacts (e.g., overly large boxes, overlapping annotations).