U-net Image Segmentation the basics (From Scratch!): Pytorch Deep Learning Tutorial
TIMESTAMPS!
00:00 Intro
01:50 What is a bounding box?
04:57 Intersection over Union (IoU)
21:00 CUB-200 Dataset and Dataset Class
34:11 Training
34:44 Testing
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The corresponding code is available here! (Section 8)
https://github.com/LukeDitria/pytorch...
Description:
Embark on a journey into the intricacies of Semantic Segmentation in this in-depth tutorial, delving into U-Net architecture and the critical Intersection over Union (IoU) metric. Whether you're a beginner or an intermediate learner, our expert guide will lead you through each step, making complex concepts accessible.
Video Highlights:
Learn the fundamentals of Semantic Segmentation in computer vision.
Grasp the essence of U-Net architecture for precise image segmentation.
Dive into the PyTorch framework to implement a powerful Semantic Segmentation model.
Gain insights into IoU, a crucial metric for evaluating segmentation accuracy.
Explore practical examples and code snippets for hands-on learning.
Navigate through common challenges and effective solutions in Semantic Segmentation.