Subscribe To My Channel https://www.youtube.com/@huseyin_ozdemir?sub_confirmation=1
Video Contents:
00:00 Introduction
00:51 Bounding Box Prediction
01:13 Box Parameters
03:20 Dimension Clusters
05:39 Box Assignment
06:21 Decision Tree for Box Assignment
07:20 Loss Function
07:27 Localization Loss
10:27 Confidence Loss
11:24 Classification Loss
14:04 Darknet-53
15:10 Predictions Across Scales
16:54 YOLOv3 Architecture Diagram
* YOLO Algorithm
* What is YOLO?
* Object Detection with YOLO Algorithm
* Details of Bounding Box Predictions using Anchor Boxes in YOLOv3
* Clustering Ground Truth Box Dimensions to obtain Anchor Box Dimensions
* Assignment of an Anchor Box to detect a Ground Truth Object
* Ignored predictions
* Details of Localization Loss, Confidence (Objectness) Loss and Classification Loss
* Details of Darknet-53
* How to obtain a Feature Extractor using Darknet-53
* Predictions Across 3 Scales
* Detailed diagram of YOLOv3
All images and animations in this video belong to me
Reference
YOLOv3: An Incremental Improvement
Joseph Redmon, Ali Farhadi
https://arxiv.org/abs/1804.02767
#machinelearning #computervision #ai
#yolov3 #yolo #yoloalgorithm #yoloobjectdetection
#objectdetection #regularization
#deeplearning #neuralnetworks
#artificialintelligence #aitutorial #education
#convolutionalneuralnetworks #neuralnetwork
#convolutionalneuralnetwork #imageprocessing
#datascience #computervisionwithhuseyinozdemir
