Video Anomaly Detection — Interactive Stakeholder Guide
An interactive decision guide for evaluating and deploying CCTV anomaly detection models. Walk through a structured evaluation from model comparison to deployment recommendation.
Optimized for larger screens
Some simulations are best viewed on larger screens in landscape orientation, but they might work on your phone. I just don't optimise for them.
Interactive Guide
Stage 1 of 5Model Comparison
Model Comparison
You have 5 model iterations from an ablation study. Before investigating details, compare them side-by-side to identify which candidate is worth pursuing.
Why This Matters
This is where you decide if there's a candidate worth investigating. If no model improves meaningfully over Baseline, stop here and re-evaluate the architectural approach.
Diagnostic Task
Toggle models on and off in the comparison strip. Compare F1, FAR, and Confirm Rate to identify the strongest candidate.
What to Look For
- F1 score improvements — does the candidate improve by more than 5% over Baseline?
- FAR/100h — a high F1 with unacceptable FAR means operators will be overwhelmed
- Confirm Rate — if operators only confirm 60% of alerts, the model may be generating nuisance alerts
Checkpoints
Select Candidate Model (A4) in comparison list
Keep Baseline selected to view delta comparison
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Active Workspace: Ablation Study Comparison
Models: