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Opiniones y comentarios de aprendices correspondientes a Aerial Image Segmentation with PyTorch por parte de Coursera Project Network

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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 - 2 de 2 revisiones para Aerial Image Segmentation with PyTorch

por Harsh S P

24 de jun. de 2022

I like it much

por Agrover112

26 de dic. de 2022

4 because there were quite a few mistakes which should be corrected!