Uncertainty Estimation for Image Segmentation using Monte Carlo Dropout | PyTorch Tutorial скачать в хорошем качестве

Uncertainty Estimation for Image Segmentation using Monte Carlo Dropout | PyTorch Tutorial

In this tutorial, we’ll explore how to estimate uncertainty in image segmentation using Monte Carlo Dropout (MC Dropout) with a U-Net model in PyTorch. Without retraining, we'll inject dropout layers at inference time and visualize uncertainty maps that reveal where the model is confident — and where it isn't. This technique is especially useful in sensitive domains like medical imaging, agriculture, and autonomous driving, where model confidence is as important as prediction accuracy. ⏱️ Timestamps: 00:00 - Introduction 00:35 - Why Uncertainty Matters 01:10 - What is Monte Carlo Dropout? 02:00 - Two Approaches: With & Without Dropout Layer Training 02:41 - Implementation of Monte Carlo Dropout (Without Dropout Layer) 12:00 - Visualizing the Uncertainty Heatmaps (Without Dropout Layer) 13:03 - Implementation of Monte Carlo Dropout (With Dropout Layer Training) 13:56 - Visualizing the Uncertainty Heatmaps (With Dropout Layer Training) 15:54 - Comparison: With vs Without Dropout Training 18:44 - Recommendations 19:47 - Final Thoughts 📌 In this video, you’ll learn: What is Monte Carlo Dropout? Why is uncertainty estimation important in segmentation How to inject dropout dynamically into a trained U-Net Performing multiple stochastic forward passes Generating and visualizing pixel-wise uncertainty maps Comparing results from models trained with and without dropout 💡 Uncertainty Maps = Smarter, More Reliable AI Decisions! 🔗 GitHub Repo: https://github.com/nikhilroxtomar/Mul... 📸 Dataset: https://figshare.com/articles/dataset... 🎥 Related Videos: Multiclass Image Segmentation in PyTorch:    • Multiclass Image Segmentation in PyTorch |...   Implementing GradCAM on UNet with PyTorch for Multi-Class Segmentation:    • Implementing GradCAM on UNet with PyTorch ...   Test Time Augmentation in Segmentation (TTA):    • Test Time Augmentation(TTA) for Multiclass...   💖 Support My Work: ☕ Buy me a coffee: https://www.buymeacoffee.com/nikhilro... 💬 Join the channel as a member:    / @idiotdeveloper   🌐 Stay Connected: 📘 Blog: https://idiotdeveloper.com | https://sciencetonight.com 📢 Telegram: https://t.me/idiotdeveloper 📘 Facebook:   / idiotdeveloper   🐦 Twitter:   / nikhilroxtomar   📸 Instagram:   / nikhilroxtomar   🎁 Patreon:   / idiotdeveloper