In this project we'll discuss two ways to perform image recognition:
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Object Detection with Boundary Boxes - we'll deploy Tensorflow's Object Detection API inside a Docker container to train our model inside AWS Sagemaker. The resulting model will be able to detect objects inside an image with a boundary box around each object.
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Multi Label Detection without boundary boxes - we'll be able to assign multiple labels to an image based on what it contains.