COMPUTER VISION • DATA ENGINEERING

A tracking model is only useful when its failures become data.

This pipeline follows a skier through video, records every model decision, converts frame diagnostics into analytics tables, and routes weak moments back into human review.

Explore code and CLI

Raw videoKeyframe labelsYOLO datasetDetectionTrackingQuality metricsReview queue

What the pipeline measures

Lock rate92%

Appearance confidence88%

YOLO update coverage74%

Human review queue

Prediction-only framesFlag

Identity driftEscalate

Low appearance scoreRelabel

Long tracker gapInspect