Open Internet by MindsNet

Obtaining Labeled Data for Niche Object Classes

Collecting sufficient labeled training data for uncommon object classes is difficult and painful. Synthetic augmentation has limitations due to domain gaps. This bottleneck hinders the development of accurate object counting models.

Computing & Technology, Computer Science, Machine Learning