YOLO-V5: Architecture deep-dive || YOLO OBJECT DETECTION SERIES

Описание: 🚀 YOLOv5: The Controversial Yet Powerful Object Detection Model | Architecture Deep Dive 🎯

In this video, we take a deep dive into YOLOv5 , one of the most popular object detection models. We'll cover:
✅ Introduction to YOLOv5 – How it evolved from previous YOLO versions
✅ The Controversy – Why YOLOv5 doesn’t have an official research paper yet
✅ Architecture Breakdown – A layer-by-layer analysis of how YOLOv5 works
✅ Comparison with YOLOv4 – Performance, speed, and accuracy

Despite the controversies, YOLOv5 is widely used in real-world applications , from autonomous driving to medical imaging. Watch till the end for a comprehensive breakdown!

💬 What do you think about YOLOv5’s missing research paper? Does it impact its credibility? Let me know in the comments!

Slides - https://drive.google.com/file/d/1Kg9R...

🔗 Resources & Code : https://github.com/ultralytics/yolov5

📌 Chapters :
0:00 - Introduction
00:45 - Controversy: No official research paper?
04:30 - AGPL License
04:56 - YOLOv5 Architecture Overview
06:54 - Ultralytics Repo Capabilities
10:05 - Architecture Deepdive
11:00 - Backbone - Modified CSP-Darknet53
15:25 - SPPF Module
18:35 - CSP - Path Aggregation Network
24:30 - Detection Head
36:40 - Netron Visualization of Architecture
47:40 - Conclusion

#yolov5 #ObjectDetection #DeepLearning #ComputerVision #MachineLearning #AI #YOLO #NeuralNetworks #ArtificialIntelligence #DeepLearningTutorial #ComputerVisionModels