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unet-with-pretrained-encoder's Introduction

Unet-with-Pretrained-Encoder

The repository contains the Jupyter Notebook that perform semantic segmentation using the famous U-Net. The encoder of the U-Net is replaced with the pretrained encoder.

The pretrained encoder that we used with U-net are:

  • MobileNetV2

Dataset

CVC-612 or ClinicDB polyp dataset is used for semantic segmentation task. The dataset contains the 612 images and masks. You can download the dataset from here or from directly from the Dropbox.

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unet-with-pretrained-encoder's Issues

How to add data augmentation?

Hi, I came here from your youtube channel. Good work btw. Helped me a lot, but how I do go about if I want to add online data augmentation to this code? Am new to machine learning, so your help would be highly appreciated!

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