YOLOv8 Architecture Detailed Explanation - A Complete Breakdown

Hey AI Enthusiasts! 👋 Join me on a complete breakdown of YOLOv8 architecture.

In this captivating video, I'll be your guide as we explore the intricacies of YOLOv8 architecture, one of the latest and most powerful object detection models. We'll unravel its secrets, dissect its components, and demystify how it achieves mind-blowing real-time object detection. 🕵️‍♂️
Prepare to be amazed as we delve into:
1. The unique YOLOv8 convolutional block
2. The new C2f block
3. The bottlenecks
4. The spatial pyramid pooling fast (SPPF)

Join me for this exciting journey, where we'll decode YOLOv8 together! 🎥 Don't forget to hit that subscribe button and ring the notification bell to stay updated on YOLO. Let's geek out together! 🤓

Do you want to know how to easily PRUNING and MODIFYING YOLOv8 architecture?
And how to greatly IMPROVE SPEED up to 4x and ACCURACY up to +21 mAP by modifying YOLOv8, click this link

#yolov8architecture #yolov8 #objectdetection #artificialintelligence #computervision #deeplearning #yolo

[Dr.Priyanto.Hidayatullah]

How to greatly IMPROVE SPEED up to 4x and ACCURACY up to +21 mAP by modifying YOLOv8, click this link

[amiroacid]

Thank you so much Dr. Hidayatullah. This was beautifully explained. Just wow

[samgarbakytnur]

Thank you it was so simple and so informative!

[beautlins]

thank you so much for detailed explanation!

[andrii]

That is a very nice explanation, thank you so much!

[nilx]

Thanks for neat, but impactful explanation

[areegfahad]

Your explanation was amazing!, Do you have any tutorials on how to implement pruning on YOLO8?

[Ramkumar-rdvq]

hello Professor ! thankyou for the detailed explanation it helped a lot. We are using this model for an interdisciplinary project that also requires explaining this models behaviour using explainability techniques like EigenCam and GradCam. Sir can you please suggest some layers in this Architecture that we can target to get better Predictions...?

[neethaponnu]

Hi sir, Thank you so much for this explanation but could you please explain what exactly is this 'max output channel'?

[chautuongvy]

Thank you for the detailed explanation. Could I ask what software you used to draw the architecture?

[LordWildbeast]

Penjelasannya mudah dipahami, terima kasih pak

[dalinsixtus]

how to create new blocks to improve the accuracy, for detecting small objects or adding new blocks like GAM, how do we decide where to add ???

[dosenswasta]

Izin bertanya. Apakah dalam implementasinya, Yolov8 bisa dikombinasikan dengan arsitektur lain?

[Max-gsvz]

Thank you for the video it is very usefull, but i have a question. Shouldn't there be another track for the confidence prediction in the detect block? Or where does this value come from? Is it already in the Cls?

[muhammaddaffa]

Thank you for the explanation! Do you have any other explanation for the YOLOv8 segmentation model?

[marahmarak]

Thanks alot for the good video! How can we access those images of the structure of YOLOv8? I need to include them in my report and cite them if you have a website :)

[omegaalpha]

May I ask why the feature map with higher height x width specializes detecting small objects? Does it have something to do with the channel? (9:42)

[raihanpahlevi]

YOLO doesnt use fully connected layer?

[syarifahsyifa]

ada kelas khusus penggunaan apple silicon? untuk trianing YOLO

[gilym]

Permisi pak, izin bertanya untuk proses concat pada penggabungan c2f dan upsample (menit 8:30), serta tahap concat penggabungan c2f dan conv (menit 9:50) secara detailnya bagaimana ya pak?