Dense annotation service for robotics training data that segments videos into subtask steps with sub-second boundaries and detects failures per step.
Shotwell AI provides fast, accurate, and dense annotations for robotics training data by segmenting long teleoperation and egocentric videos into discrete subtask steps with sub-second boundaries validated against standard operating procedures. It detects failures per subtask to enable reinforcement learning techniques. Dataset observability features let manual review become a database query. Operator notes are returned within 24 hours while runs are still fresh. Shotwell AI is a product of shotwell.ai.