216 - Semantic segmentation using a small dataset for training (& U-Net)

218 - Difference between UpSampling2D and Conv2DTranspose used in U-Net and GAN

211 - U-Net vs LinkNet for multiclass semantic segmentation

228 - Semantic segmentation of aerial (satellite) imagery using U-net

219 - Understanding U-Net architecture and building it from scratch

215 - 3D U-Net for semantic segmentation

PyTorch Image Segmentation Tutorial with U-NET: everything from scratch baby

Machine Learning for Everybody – Full Course

206 - The right way to segment large images by applying a trained U-Net model on smaller patches

214 - Improving semantic segmentation (U-Net) performance via ensemble of multiple trained networks

[教學影片] U-Net 影像分割演算法實作

205 - U-Net plus watershed for instance segmentation

230 - Semantic Segmentation of Landcover Dataset using U-Net

208 - Multiclass semantic segmentation using U-Net

Lecture 15: Object Detection

Training U-NET on Original Dataset: A Step-by-Step Tutorial

Tutorial 124 - Using pretrained models as encoders in U-Net

207 - Using IoU (Jaccard) as loss function to train U-Net for semantic segmentation

210 - Multiclass U-Net using VGG, ResNet, and Inception as backbones

Image Segmentation with U-net and Keras!

The U-Net (actually) explained in 10 minutes