Object detection

Identifying objects in visual data and locating where they appear.

Detections often combine a class label, location and confidence value. Review can check missed objects, duplicate detections, wrong classes and inaccurate boundaries. Detecting the right object does not establish whether the surrounding action or task succeeded; that requires its own criteria and evidence.

In practice

A detector finds the target cup, while a separate task review determines whether the robot placed it correctly.