Automotive
Magic Data provides high quality training and test data for your AI models in many scenarios of intelligent cockpit and autonomous driving to continuously improve the performance of your AI applications.
With industry Know-How as the key feature, we are embracing this new challenge with you and committed to creating more opportunities in the wave of digitalization, automation, and AI.
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Scenarios
Navigation
Device wake-up, navigation command recognition, POI recognition
Device Control in or out of the Vehicle
Car window, A/C, seat, lighting system, vehicle door, windscreen wiper
Virtual Assistant
Information query, travel arrangement, phone call, entertainment
DMS
Fatigue detection, distraction detection, poor driver behaviour detection
OMS
Seat belt reminder, dangerous behavior detection, Reminder for carrying baby in vehicle
Autonomous Vehicle/Advanced Driving Assistance System
Street view semantic recognition, road markings/traffic signs recognition, anomalous object detection
Challenge
In-vehicle scenario
Limited data of fatigue, distraction, and poor driver behavior
Unable to correctly understand commands and queries
Strong or dim light due to environment and weather changes
Stiff and unnatural response
Limited data of emergency and abnormal scenarios
Annotator® AI-Assisted Annotation Platform
Audio Annotation
Text Annotation
Image Annotation
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Navigation -
Navigation command annotation
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Device control in or out of the vehicle -
Device command annotation
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Virtual assistant -
Voice assistant command and query annotation
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Navigation -
Speech command generalization
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Device control in or out of the vehicle -
Speech command generalization
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Virtual Assistant -
Command and query generalization
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DMS -
Keypoint annotation for facial recognition
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OMS -
In-vehicle bounding box annotation for passenger and object recognition
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CV -
Bounding box annotation for out of the vehicle entity annotation, street view semantic segmentation annotation