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The effectiveness of machine learning Automated depends on various factors, one of which is data labeling. In automotive self-driving applications, precise vision training is required to detect or recognize objects on the road and keep the car in the correct lane. So, what are the types of data labeling for autonomous driving? Let's introduce it below. Data annotation is used for the purpose of autopilot: 1. Monitor the behavior in the car Safety and user experience can be greatly improved Automated by implementing AI in-vehicle monitoring. For passengers, it is possible to detect human facial expressions and track passenger movements. For drivers, it can detect the driver's situation, such as reminding them when they are asleep or distracted, and prevent accidents. 2. Vehicle identification One of the main goals of self-driving cars is to recognize other vehicles and navigate around them. This identification process must be 100% identifiable to ensure ...

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