Perception data for autonomous vehicles.
Vision and sensor models for self-driving need vast, consistently labeled data, plus uncompromising rigor on defects and edge cases.
perception · sensor · edge cases
Perception is only as good as the data behind it.
AV perception models need enormous volumes of image, video and sensor data, labeled to one consistent standard across thousands of hours of footage.
The hard part isn't the easy frames; it's defect classes, occlusions and rare edge cases, where annotator drift quietly poisons a model.
How io-ai helps.
Trained experts, an SOP-driven QA pipeline, and rejection-reason metadata on every task, held to over 98% accuracy.
Modalities & techniques
Proven work.
A real autonomous vehicles engagement, with a hard number.
Damage segmentation for vehicle-perception models.
Tell us what you're building.
Send us your data challenge and we'll scope a pilot, usually within a couple of working days.