AV
A Tier 1 global automotive manufacturer was scaling its ADAS validation program ahead of a planned regulatory submission. Their internal annotation team could handle research-scale volumes, but the production push required 50M+ LiDAR and camera annotations in under 6 weeks — far beyond their capacity.
Annotations delivered
Accuracy achieved
Delivered ahead of schedule
1
2-day taxonomy alignment session with the client's perception team. We annotated 500 samples jointly and ran IAA scoring before approving any annotator for production.
2
10,000 annotation pilot reviewed by client's internal QA team. Client-side acceptance rate came back at 99.8% on pilot — green light for full production.
3
Scaled to full team within 48 hours of pilot approval. Daily delivery cadence, with Monday/Wednesday/Friday client QA checkpoints.
4
Separate priority queue for ambiguous scenarios (heavy occlusion, adverse weather, rare object classes) reviewed by our senior AV annotation leads.
5
Delivered 5 days ahead of the 6-week deadline. Final accuracy audit by the client's ML team came back at 99.7%, beating the contractual SLA.
The annotated dataset fed directly into the client’s ADAS validation suite, which passed regulatory review on the first submission. Their ML team reported a 12% improvement in pedestrian detection recall compared to their previous annotation vendor’s data. The engagement has since expanded to a rolling quarterly contract for new scenario coverage.
"Annotation.io is the only vendor we've found that can maintain 99.5%+ accuracy at this volume without us having to babysit the QA process."
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