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Description

Annotation is the process of labeling the object of interest in the image or video to help AI or Machine Learning models understand and recognize the objects detected by sensors.
In the Self Driving development process, a high volume of data is acquired from the test fleet through the cameras, ultrasonic sensors, radar, LiDAR, and GPS, which is then ingested from vehicle to the data lake. This ingested data is labeled and processed to build a testing suite for simulation, validation and verification of ADAS models. In order to get autonomous vehicles quickly on public roads, huge training data is required, and the current shortage of it is the biggest challenge.

Description

Annotation is the process of labeling the object of interest in the image or video to help AI or Machine Learning models understand and recognize the objects detected by sensors.
In the Self Driving development process, a high volume of data is acquired from the test fleet through the cameras, ultrasonic sensors, radar, LiDAR, and GPS, which is then ingested from vehicle to the data lake. This ingested data is labeled and processed to build a testing suite for simulation, validation and verification of ADAS models. In order to get autonomous vehicles quickly on public roads, huge training data is required, and the current shortage of it is the biggest challenge.