MLS-C01 Question #193: Real Exam Question with Answer & Explanation

Question

A company has video feeds and images of a subway train station. The company wants to create a deep learning model that will alert the station manager if any passenger crosses the yellow safety line when there is no train in the station. The alert will be based on the video feeds. The company wants the model to detect the yellow line, the passengers who cross the yellow line, and the trains in the video feeds. This task requires labeling. The video data must remain confidential. A data scientist creates a bounding box to label the sample data and uses an object detection model. However, the object detection model cannot clearly demarcate the yellow line, the passengers who cross the yellow line, and the trains. Which labeling approach will help the company improve this model?

Options

• AUse Amazon Rekognition Custom Labels to label the dataset and create a custom
• BUse an Amazon SageMaker Ground Truth object detection labeling task. Use Amazon
• CUse Amazon Rekognition Custom Labels to label the dataset and create a custom
• DUse an Amazon SageMaker Ground Truth semantic segmentation labeling task. Use a