YOLO-V5: Segmentation & Classification || YOLO OBJECT DETECTION SERIES

🚀 YOLOv5: Segmentation and Classification | Architecture Deep Dive 🎯 In this video, we take a deep dive into YOLOv5 Segmentation & Classification Architectures . We'll cover: ✅ Instance Segmentation in One-stage networks – How it is different from Mask-RCNN ✅ YoloV5 Segmentation – Architecture deep dive of Segmentation ✅ Architecture Breakdown – A layer-by-layer analysis of how YOLOv5 Segmentation works ✅ YoloV5 Classification – Architecture deep dive YoloV5 is not only famous for Object Detection, it's also one of the most used for instance segmentation and classification due it's real time performance. Slides - https://drive.google.com/file/d/1Kg9R... 🔗 Resources & Code : https://github.com/ultralytics/yolov5 📌 Chapters : 0:00 - Introduction 00:34 - Instance Segmentation Intro 02:15 - Mask-RCNN Vs YOLO 05:26 - Segmentation in Single-stage Models 11:39 - YOLACT Architecture deep-dive 16:42 - YOLOV5 Seg Architecture 19:02 - Protonet Module (Mask Prototypes) 20:38 - Mask Coefficients Head 22:29 - Mask Loss Function 23:46 - Code Walk-through (Mask prediction process) 30:32 - Netron Visualization of Architecture 33:18 - YoloV5 Classification Model #yolov5 #ObjectDetection #DeepLearning #ComputerVision #MachineLearning #AI #YOLO #NeuralNetworks #ArtificialIntelligence #DeepLearningTutorial #ComputerVisionModels #segmentation #instancesegmentation #imageclassification