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This video is about the amazing UNet architecture and how it can be used to train any Image Segmentation model. I go over the major reasons why convolutional neural nets, especially the UNet are so good at image-segmentation tasks, going in deep with how to arrange a dataset, augment data, and code up a Image Segmentation system like this on your own using Pytorch. For accessing the code, animations, narration scripts, slides, etc for the video, consider joining the channel as a Youtube member or a Patron in Patreon. Read about perks here: / neuralbreakdownwithavb / @avb_fj I specifically looked at a Footballer segmentation dataset, which I must say was pretty fun for me to try. Here is the Kaggle link if you guys want to play with it: https://www.kaggle.com/datasets/ihelo... ConvNets Visualized and Explained: • Visualizing Convnets: Additional Foot... Meta's Segment Anything Model Paper explained: • Explaining the Segment Anything Model... Timestamps: 0:00 - Intro 0:39 - Overview 2:20 - Dice & Focal Loss 3:44 - Segmenting Videos 4:19 - UNet Deep Dive 7:44 - The Point of UNet 8:35 - Autoencoders vs UNet 9:58 - Fun next steps #ai #deeplearning #machinelearning