Instance Segmentation with Model Garden

Model Garden contains a collection of state-of-the-art models, implemented with TensorFlow’s high-level APIs. The implementations demonstrate the best practices for modeling, letting users to take full advantage of TensorFlow for their research and product development.

This tutorial demonstrates how to:

  1. Use models from the TensorFlow Models package.
  2. Train/Fine-tune a pre-built Mask R-CNN with mobilenet as backbone for Object Detection and Instance Segmentation
  3. Export the trained/tuned Mask R-CNN model
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