YOLO V2 - Better, Faster & Stronger || YOLO OBJECT DETECTION SERIES || YOLO9000

This is the second video of the series about YOLO object detection model family. This video digs deeper into YOLO-V2 paper which is an improvement over Yolo-V1. This version of yolo object detector is much more accurate and faster than yolo v1. They have made an new architecture named darknet 19 for backbone which is more accurate and less complex. YOLO Playlist:    • YOLO OBJECT DETECTION SERIES || Digging in...   Slides: https://github.com/MLForNerds/YOLO-OB... Neural Networks From Scratch Playlist:    • Neural Networks From Scratch in Python   YOLO repository: https://pjreddie.com/darknet/yolov2/ Chapters: 00:00 Introduction 00:10 Recap of YOLO-V1 03:12 YOLO-V2 Overview 05:05 Batch Normalization 06:08 High Resolution Classifier 07:29 High Resolution Feature Maps 09:51 Pass-Through Layer 11:50 Issue with Number of predictions 14:05 Fully Convolutional Network 14:48 Restricted class predictions 16:00 Reason for Poor Localization 16:58 Anchor Boxes 19:24 Dimensionality Clustering 21:30 Unconstrained Predictions Problem 23:23 Direct Location Prediction 26:18 YOLO-V2 Prediction Vector 28:09 Targets Calculation 29:33 Loss Function Breakdown 32:58 Multi-scale Training 34:51 Accuracy Comparisons 37:02 Darknet-19 backbone 38:51 Conclusion #yolo #yolov3 #yolov4 #yolov5 #yolov7 #objectdetection #singlestage #computervision