Annotation Engineer Interview Questions and Answers

AI and ML features include pattern recognition, predictive analytics, and decision-making capabilities.

• Pattern recognition: AI and ML algorithms can identify patterns in data to make predictions.

• Predictive analytics: AI and ML can analyze data to forecast future outcomes.

• Decision-making capabilities: AI and ML systems can make decisions based on data analysis.

• Examples: Self-driving cars use AI for object recognition, recommendation systems use ML for personalized suggestions.

Qualifications related to ADAS (Advanced Driver Assistance Systems)

• Knowledge of ADAS technologies and systems

• Experience with sensor fusion and computer vision algorithms

• Understanding of automotive safety standards and regulations

• Proficiency in programming languages like C++ and Python

• Ability to work with large datasets and machine learning models