Among other things, we describe techniques for automati cally selecting data samples for
annotation. The techniques use bounding box prediction based on a bounding box score
distribution, spatial probability density determined from bounding box sizes and positions
and an ensemble score variance determined from outputs of multiple machine learning
models to select data samples for annotation. In an embodiment, temporal inconsistency
cues are used to select data samples for annotation. In an embodiment, digital map …