Specifically, for deep learning-based autonomous vehicle (AV) and Advanced Driver Assistance Systems (ADAS), there is a need to label complex multi-modal data from scratch, including synchronized LiDAR, RADAR, and multi-camera streams. Amazon SageMaker Ground Truth – Alternatively, you can manage your own data labeling workflows and workforce to label data.You upload your data, and the Ground Truth Plus team creates and manages data labeling workflows and the workforce on your behalf. Amazon SageMaker Ground Truth Plus – This service provides an expert workforce that is trained on ML tasks and can help meet your data security, privacy, and compliance requirements.
You can use Amazon SageMaker Data Labeling in two ways to create these labels: Hundreds of thousands of work hours are spent generating high-quality labels from images and videos for various CV use cases. It’s one of the prerequisite tasks to prepare training data to train a deep learning model.
In computer vision (CV), adding tags to identify objects of interest or bounding boxes to locate the objects is called labeling.
0 kommentar(er)
