Amazon SageMaker Ground Truth supports many different types of labeling jobs, including several image-based labeling workflows like image-level labels, bounding box-specific labels, or pixel-level labeling. For situations not covered by these standard approaches, Ground Truth also supports custom image-based labeling, which allows you to create a labeling workflow with a completely unique UI and associated processing. Beyond that, you can chain different Ground Truth labeling jobs together so that the output of one job acts as the input to another job, to allow even more flexibility in a labeling workflow by breaking the job into multiple stages.
In this post, we show how to chain two custom Ground Truth jobs together to perform advanced image manipulations, including isolating portions of images, and de-skewing images that were photographed from an angle. Additionally, we demonstrate several techniques for augmenting source images, which are helpful for situations where you have a limited number

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