Map data provider achieves 99% accuracy on dashcam annotation

Overview

Dashcam perception models live or die on annotation accuracy — and a market expansion can't wait for an annotation backlog to clear.

A Global Map Data Provider building driver-safety AI needed dashboard-camera video annotated at production scale to accelerate go-to-market in new and emerging markets.

Firstsource annotated large-volume dashcam video clips across multiple object categories ” with occluded and obstructed object tracking ” at >99% accuracy and 99% productivity.

This was Intelligence that Operates: ADAS perception annotation feeding model expansion at the pace new markets demanded.

Challenges

• Dashcam annotation isn't generic image labeling. Moving scenes, occlusions, and partial visibility across multiple object categories require annotators trained on driving-scene logic ” not crowd-grade box-drawing.
• Occluded and obstructed object tracking is where annotation usually breaks. Following an object through partial occlusion across a multi-minute clip needs continuity reasoning that ad-hoc annotators can't sustain.
• Market-expansion timelines don't wait for annotation throughput to catch up. Entering new and emerging markets with driver-safety AI requires annotation to run at GTM velocity, not as a downstream batch.

How We Made It Happen

We ran annotation at production volume with consistent quality across categories, occlusion, and time.

• Large-volume dashcam video clips annotated across multiple object categories. Object matching across multiple videos handled within the same workflow rather than as a separate step.
• Physical AI delivered with occlusion tracking built in. Annotators trained for occluded and obstructed object continuity ” not point-in-time labeling.
• One quality discipline at high productivity. 99% productivity sustained at >99% accuracy ” annotation kept pace with the client's GTM timelines.

Conclusion

Driver-safety AI ships when annotation can keep up with the markets. Firstsource ran perception annotation at >99% accuracy and 99% productivity ” turning ADAS data labeling into Intelligence that Operates.