Post
DK1 teams often assume their cameras are synchronized until they inspect a longer collection run and realize timestamp drift quietly degraded the dataset.
How are you validating camera synchronization and timestamp stability before collecting serious robot-learning episodes?
Please share your checks for dropped frames, drift accumulation, trigger alignment, and the moment you decide a run is no longer trustworthy.
If you reply, include one exact sync failure symptom and one exact validation or correction step that helped.