Back to Deep Learning with PyTorch : Object Localization
Learner Reviews & Feedback for Deep Learning with PyTorch : Object Localization by Coursera Project Network
40 ratings
About the Course
Object Localization is the task of locating an instance of a particular object category in an image, typically by specifying a tightly cropped bounding box centered on the instance. In this 2-hour project-based course, you will be able to understand the Object Localization Dataset and you will write a custom dataset class for Image-bounding box dataset. Additionally, you will apply augmentation for localization task to augment images as well as its effect on bounding box. For localization task augmentation you will use albumentation library. We will plot the (image-bounding box) pair. Thereafter, we will load a pretrained state of the art convolutional neural network using timm library.Moreover, we are going to create train function and evaluator function which will be helpful to write training loop. Lastly, you will use best trained model to find bounding box given any image.
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1 - 2 of 2 Reviews for Deep Learning with PyTorch : Object Localization
By Binitha B
•Nov 13, 2022
Excellent
By ФІ-81 П П
•Apr 2, 2022
Technical problems with "Rhyme". Virtual machine was slow.