I work mostly with images and this is something missing in most tools/annotations format.
Basic example where there is annotations propositions from 2 annotators, 2 from auto-labeling strategies (active learning) and 1 that would have been accepted as "ground_truth" by a reviser or someone with the right to "accept" a ground truth annotation :
Thanks for the information about your use case @Ownmarc . Any large dataset will need quality control/user management to make sure data is being completed well with good oversight.
I work mostly with images and this is something missing in most tools/annotations format.
Basic example where there is annotations propositions from 2 annotators, 2 from auto-labeling strategies (active learning) and 1 that would have been accepted as "ground_truth" by a reviser or someone with the right to "accept" a ground truth annotation :