The Annotation Pipeline Behind Autonomous Vehicles
Autonomous vehicles rely on far more than sophisticated sensors and artificial intelligence algorithms. Their ability to safely navigate roads depends on the quality of the data used during training. Every traffic sign, pedestrian, vehicle, lane marking, cyclist, and road obstacle must be accurately labeled before an AI model can learn to recognize and respond to real-world driving conditions....
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