Traditional Vision ML is Blind Beyond Annotated Boxes; Aimotive Dataset Extends to 200m
yunta_tsai · x · 2026-08-27
Core Argument
Traditional vision ML models are effectively blind outside annotated boxes, which in driving datasets often stop at 80 meters (only 2 seconds warning at highway speeds), discarding nuances and massive amounts of information.
Aimotive Dataset Solution
- Annotation Range: Extended to 200 meters; roughly a quarter of the 425k boxes sit beyond 75 meters.
- Sensor Setup: 360-degree layout featuring LiDAR, four cameras, and two radars, ensuring every object is covered by at least two sensor types.
- Data Scale: 176 scenes across California, Austria, and Hungary, captured in daylight, night, and rain.
- Training Strategy: Training labels generated by a non-causal tracker watching the full 15-second clip (hindsight), validated by humans.
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