Harbor inspectors already tagged eight thousand dock-plank photos sound versus rot. They want a SageMaker trainer they control, not a general-purpose detect-labels API. Which algorithm fits?
Select an answer to reveal the explanation.
Short Explanation
Think of eight thousand dock-plank photos already tagged sound versus rot, and a trainer they control. SageMaker Image Classification. A general Rekognition detect-labels call does not train those custom classes.
Full Explanation
SageMaker Image Classification is the built-in when a supervised, labeled image-class set is already in hand and the team wants a trainer they control. A general Rekognition detect-labels call does not train those custom classes. Comprehend and DeepAR are not image classifiers.