You work as a machine learning specialist for a software company that is building a bird identifier mobile app. The app will allow users to take a photo of a bird and then use the app to process the image and identify the bird. You are building your data repository for your machine learning model to use for training. You need to label the very large set of images you plan to use for training. You have decided to use SageMaker Ground Truth to label your images. You are creating the Ground Truth worker tasks for your workers to use when performing their labeling tasks. You need to identify the birds in your images at the pixel level for accuracy. Which SageMaker Ground Truth built-in task should you use?

Answer options:

A.Bounding Box
B.Image Classification (Single Label)
C.Image Classification (Multi-Label)
D.Image Semantic Segmentation

Correct Answer: D
Option A is incorrect. The Bounding Box SageMaker Ground Truth built-in task is used to allow your workers to use a box that bounds various subjects in the image. You need your workers to identify the subjects (birds) at the pixel level.
Option B is incorrect. The Image Classification (Single Label) SageMaker Ground Truth built-in task is used to allow your workers to label subjects in your images using a predefined set of labels provided by you. You need your workers to identify the subjects (birds) at the pixel level.
Option C is incorrect. The Image Classification (Multi-Label) SageMaker Ground Truth built-in task is used to allow your workers to label multiple subjects in your images. You need your workers to identify the subjects (birds) at the pixel level.
Option D is correct. The Semantic Segmentation Ground Truth built-in task is used to allow your workers to label subjects in your image at the pixel level.
Reference:
Please see the Amazon SageMaker developer guide titled Label Data (https://docs.aws.amazon.com/sagemaker/latest/dg/data-label.html), the Amazon SageMaker developer guide titled Built-in Task Types (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html), the Amazon SageMaker developer guide titled Image Classification (Single Label) (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-image-classification.html), the Amazon SageMaker developer guide titled Image Classification (Multi-label) (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-image-classification-multilabel.html), and the Amazon SageMaker developer guide titled Image Semantic Segmentation (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-semantic-segmentation.html), and the Amazon SageMaker developer guide titled Bounding Box (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-bounding-box.html)