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Computer Vision Workshops with AWS

A set of examples for computer vision use cases on AWS (SageMaker, Ground Truth, Rekognition, etc).

These workshops are created for demonstration/education purposes only and are not official AWS samples: Check out the AWS Samples GitHub and AWS Solutions page for official content.

Contents

  • sm_processing: Parallelized batch video frame image extraction with SageMaker Processing
  • gt_object_det: Object detection (bounding boxes) using SageMaker Ground Truth for image labelling, and exploring Rekognition and SageMaker for model fitting
  • mxnet_gluon_mnist: Image classification on MNIST Digits hand-written numbers data set with MXNet GluonCV
  • tf_script_mode: TensorFlow model training and serving with SageMaker (also on MNIST Digits)

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A set of workshops on computer vision with AWS

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  • Jupyter Notebook 56.5%
  • Python 36.9%
  • HTML 5.3%
  • Shell 1.2%
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