返回到 Aerial Image Segmentation with PyTorch
学生对 Coursera 提供的 Aerial Image Segmentation with PyTorch 的评价和反馈
32 个评分
课程概述
In this 2-hour project-based course, you will be able to :
- Understand the Massachusetts Roads Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation domain augmentations 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.
- Finally, we will use best trained segementation model for inference.
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1 - Aerial Image Segmentation with PyTorch 的 6 个评论（共 6 个）
创建者 Harsh P
•Jun 24, 2022
I like it much
创建者 Ataur r
•Jan 6, 2025
Worst Course ever. There is no explanation of Code and also not a tiny bit of theory. Instructor just read the code while coding like a memorized machine.
创建者 Libero P
•Sep 7, 2025
Πολύ καλό μάθημα.
创建者 Thaís S
•Jun 18, 2023
The project is explained step by step with good didactics; however, I notice that there is no assistance beyond the video, and the unanswered forums of questions.
创建者 Agrover112
•Dec 26, 2022
4 because there were quite a few mistakes which should be corrected!
创建者 Pranav S K N E
•May 9, 2024
i needed more graded quizes