Perception data on your exact camera, for scenes no fleet has driven.
Synthetic training data for ADAS and in-cabin perception, delivered on your exact intrinsics and extrinsics and validated against real held-out images.
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Fisheye surround-view, matched to your calibration
Training data for surround-view perception, on the exact fisheye geometry your vehicle runs. Set the distortion profile, field of view and mounting, then populate it with the scenes and actors your model needs. The configuration below is one such rig, aligned to the WoodScape surround-view reference.
Fisheye lens · roughly 190° field of view · 1187 × 896
Send your own calibration to receive data on your rig.
One rig, the full distribution
Driver and occupant monitoring, any camera placement
In-cabin data for driver and occupant monitoring, available from every mount an OEM might choose: a narrow driver-facing view off the steering column, an A-pillar angle, a full-cabin overhead fisheye. Move the camera and the annotations follow. Coverage runs from driver state through occupant monitoring across the seats.
Same driver, two placements
Placement and behaviour variation
Edge cases on demand
The conditions that break a perception model are the ones a fleet almost never records. Order them to spec. For ADAS: night, standing water, low sun, vehicles cutting in at close range. For in-cabin: eyes closing, heads turned away, occlusion from eyewear and hands.
Exterior / ADAS
Interior / In-Cabin
NCAP VRU scenario modelling
Euro NCAP vulnerable-road-user protocols, reconstructed as synthetic scenes. You get the full regulatory test matrix without putting a pedestrian in front of a moving car.
Customize a dataset to your exact camera spec.
Send your calibration — intrinsics, extrinsics, and mounting — and we'll build labelled synthetic training data on your rig's geometry, with the scenes and actors you specify.