Multi-Object Video Labeling & Temporal Consistency Auditing
Leveraged Atlas Capture to perform high-precision video annotation, focusing on temporal consistency and frame-by-frame object tracking. Designed and implemented rule-based evaluation systems to ensure the accuracy of automated user-pairing and movement detection. Conducted iterative error analysis to eliminate logical inconsistencies across video sequences, ensuring that labeled entities maintained identity and spatial accuracy throughout the duration of the clip