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Coursera Project Network

Deep Learning with PyTorch : Image Segmentation

Coursera Project Network via Coursera

Overview

Prepare for a new career with $100 off Coursera Plus
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In this 2-hour project-based course, you will be able to :

- Understand the Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation augmentation to augment images as well as its masks. For image-mask augmentation you will use albumentation library. You will plot the image-Mask pair.

- Load a pretrained state of the art convolutional neural network for segmentation problem(for e.g, Unet) using segmentation model pytorch library.

- Create train function and evaluator function which will helpful to write training loop. Moreover, you will use training loop to train the model.

Syllabus

  • Project Overview
    • Understand the Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation augmentation to augment images as well as its masks. For image-mask augmentation you will use albumentation library. You will plot the image-Mask pair. Load a pretrained state of the art convolutional neural network for segmentation problem(for e.g, Unet) using segmentation model pytorch library. Create train function and evaluator function which will helpful to write training loop. Moreover, you will use training loop to train the model.

Taught by

Parth Dhameliya

Reviews

4.3 rating at Coursera based on 155 ratings

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