aws-samples/amazon-sagemaker-pipelines-mxnet-image-classification
Build an MXNet image classification model via SageMaker Pipelines
This solution helps machine learning engineers or data scientists automate the process of building, training, and registering an image classification model. It takes a collection of labeled images (like JPEGs) stored in Amazon S3 and outputs a trained MXNet model ready for deployment in the SageMaker Model Registry. This streamlines the development of computer vision applications, ensuring consistency and efficiency.
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Use this if you are an ML engineer or data scientist looking to automate the creation and management of binary image classification models using Amazon SageMaker.
Not ideal if you are a business user without a background in machine learning, Python, or AWS services, as it requires hands-on setup and familiarity with developer tools.
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Last pushed
Feb 08, 2023
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