Coursera
Paid Course
English
Paid Certificate Available
2 hours worth of material
selfpaced
Overview
Class Central Tips
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.
-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
