Yolov4 Object Detection - How it Works & Why it's So Amazing! | OpenCV Python | Computer Vision

Want to Learn YOLOv7 and solve real-world problems?
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Find out what makes YOLOv4 Object Detection — Superior, Faster & More Accurate in Object Detection. This Computer Vision tutorial is based in OpenCV Python

==Timecode==
0:00 - Introduction to yolo v4 object detection
3:19 - Object Detector Architectures
4:13 - Selection of Architecture
5:20 - Training Optimizations
8:02 - Additional Improvements
8:32 - Experimental Setup
10:50 - Results
11:29 - Summary

So guess what, YOLOv4 has just been released a few days ago, and I must say I am really really excited by this release. Why? Well Yolo version 3 was quite popular, robust and quick, and now YOLOv4 in comparison I feel is a significant upgrade in terms of speed and performance. So, this article I am going to dissect the paper YOLOv4: Optimal Speed and Accuracy of Object Detection by Alexey Bochkovsky, Chien Yao and Hon-Yuan.

Wait — hold it… what happened to the original creators of Yolo v1–3 Joseph Redmon and Ali Farhadi — Well Joseph or Joe tweeted in Feb 2020 that he will stop Computer vision research because of how the technology was being used for military applications and that the privacy concerns were having a societal impact.

Okay so back to YOLOv4, I am not going to cover YOLO v2 and Yolo v3 in this video because I already cover it in another video of mine which you can check out on my YouTube Channel.

I’ll be dissecting the YOLOv4 paper and help you understand this great technology without too much technical jargon, to uncover:
1)How it works,
2) How it was developed,
3) What approached they used,
4) Why they used particular methods,
5)As well how it performs in comparison to competing object detection models,
6) and Finally, why it’s so awesome!

Okay so if you are ready to get started with AI, Computer vision and YOLOv4! 😉

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[gerardwalsh]

It's refreshing to see research geared directly towards real-world applications and training on more commonly found hardware!

[davidbendell]

I'm excited to implement yolov4 with your help

[HousewarmingJR]

Great video and pedagogy ! With such skills, interested in the course obviously :-)

[andrespereira]

Loved the explanation in simple terminology. This is like a big welcome for beginners to understand how this amazing computer vision tools works. Excellent video!!

[camilodominguez]

Thanks for the video! Incredible work by the guys behind Yolo V4.

[saritagautam]

great explanation. I understood each and every bit clearly. looking forward to learning complete yolov4 implementation from you. Thank you.

[FameCMT]

This will make so many things beautiful

[nick-kk]

Amazing! I'm very interested in what you are doing, keep it up!

[maxinteltech]

Great work. both conceptually and graphically. I loved your style of making Youtube video.Inspiring!

[adityavaishampayan]

great job, looking forward to more videos from you. Stay safe out there.

[sefadogan]

Hello, with which command can I detect object on all photos in a particular folder in yolov4? I want it to be done one by one in all the photos one after the other.

[ai-sanfrandisco]

Thanks! I was able to make a video using YoloV4 after wathcing your tutorial! Thank you for your help!

[jagsdesign]

great to see a lucid presentation and explain the core concepts behind; Lots to learn inside;

[denyssato]

Awesome! I'll cite you in my thesis! Thanks!

[saurabh]

Thanks for coming with great videos on all the trending technologies.

[imenebouderbal]

Great pedagogy and methodology, , I'm interested in your courses obviously, , I hope I'll be one of the winners !!!!

[TheDodito]

Definitely interested in competing for a free course in computer vision. What I am interested in most is "applied ML" and bringing it into production. And you focus on that which is great! Happy to share in my network on different social media as well btw

[betulsahin]

Hello! I want to ask you I don't want to detect some objects and can I extract some labels at yolov4 and is it effects the detection time? If you answer I will be appreciate for this. Best Regard.

[cartoonchan]

Thank you so much for the video... Can you clarify few things?
1)If yolo works with Seperating images in grids then in which grid will you give the bounding box and what to do if the object is in 2 grids. Should the labels be given to both the grids?
2)Also what should be the values for other grids?? Please answer this if you know I'm stuck with this part for few days now

[sidmehta]

I really liked the video! You make it easy to understand..!