It is highly recommended to leverage the Dataset versioning system in order to keep track of the work done on a dataset. To create a new version from the initial dataset, select all or some assets from the initial one and click “Create new version” to initialize a new dataset version containing the selected assets. Depending on your needs, you can choose the elements from the initial version you want to embed in the new one among tags, labels, and annotations.
In case you want to import the annotations but with some modifications, once the new version of the dataset is created, and the labels set up (either by embedding the labels during inheritance or by defining manually labels in the “Settings” tab), you can personalize the import the annotations from any version.
To do so, you can go to the “Settings” > “Annotations” part of the new dataset version. You can select the dataset version from which you want to copy the annotations, then you just
need to select class by class the annotations to inherit from the first version to the new one. It allows you to copy annotations even if the name of the labels changes and also to merge annotations from two or more classes in one.
Updated 21 days ago