Chevron Left
返回到 Aerial Image Segmentation with PyTorch

學生對 Coursera Project Network 提供的 Aerial Image Segmentation with PyTorch 的評價和反饋


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....

1 - Aerial Image Segmentation with PyTorch 的 1 個評論(共 1 個)

創建者 34_Harsh P