Image segmentation with U-Net
This article is originally published at https://blogs.rstudio.com/tensorflow/In image segmentation, every pixel of an image is assigned a class. Depending on the application, classes could be different cell types; or the task could be binary, as in "cancer cell yes or no?". Area of application notwithstanding, the established neural network architecture of choice is U-Net. In this post, we show how to preprocess data and train a U-Net model on the Kaggle Carvana image segmentation data.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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