YOLOv9 Architecture Explained

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Hey Deep Learning Lovers! A new YOLO version has come. Join me for the first ever complete breakdown of YOLOv9 architecture video.

YOLOv9 Explained? Yes, it is a super detailed YOLOv9 explanation video. I'll be your guide as we explore the key features behind YOLOv9 power. We'll also unravel the similarities to some other models.

Take a deep breath because we will deep dive (literally) into:
1. All YOLOv9 architecture components, such as: Conv block, RepConvN, RepNBottleneck, RepNCSP, REPNCSPELAN4, ADown, and SPPELAN.
2. The backbone, neck, and head, which is surprisingly, YOLOv9 has 6 head blocks now.
3. The Auxiliary which is one of the smart new features in YOLOv9

Join me for this fascinating journey, where we'll decode YOLOv9 architecture together! If you found this video helpful, click the thumbs up and share the video.

Chapters:
0:00 Introduction (YOLOv9 Components)
0:16 Convolution Block
1:28 RepConvN
2:35 RepNBottleneck
3:06 RepNCSP
3:46 RepNCSPELAN4
4:53 ADown
5:28 SPPELAN
6:32 The YOLOv9 OVERALL Architecture
6:59 Programmable Gradient Information (PGI)
7:49 Block Numbering
9:47 Determining Channel Output in RepNCSPELAN4
11:03 Neck Part (Upsample, Concat)
13:33 Auxiliary (CBLinear, CBFuse)

Btw, to be honest, YOLOv9 is very accurate in some cases, but YOLOv8 is better in some other cases. In my opinion, It is better if you learn both.

If you want to learn more about YOLOv9 architecture along with its application, you can check out our "YOLOv9-YOLOv8-YOLOv7: 3 IN 1 COURSE". With one enrollment, you get all three best models so far. Click this link for more information:

Disclaimer: All information is based on our understanding of the paper and source code.
#yolov9 #yolov9architecture #objectdetection
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very good and detailed explanation. Thank you very much. Can I use the architecture of YOLOv9 in my write-up?

marwanfouad
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I really appreciate your explanation. However, What about the Multi-Level Auxiliary Information branch as mentioned in the paper?

harshdhamecha
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can we apply attention layer to their arch. can you help me to explain where should it incorp.

ssad-bxor
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Can you provide architecture diagram of the YOLOv9 ?

SubhanTech-uvzs
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Could you please show the YOLOv9-seg architecture also? Thank you so much ~~~

HaVu-jbcv
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I have one question regarding the detect blocks in the head.
Could you please explain why the detect blocks focus on detecting only one size?
Of all my object annotations are roughly the same size, can I choose to have just one detect block?

VibesOfEastCoast
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sir, can you make a video explain about all the loss funtion in yolov9, we are highly expecting that, thanks you.

ucdung
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Halo Pak Doktor. Mohon masukanya. Untuk mendeteksi multi class objek apakah Yolov8 atau Yolov9 ini bisa lebih baik dibandngkan Yolov4 atau Yolov5?

dosenswasta
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Dear Sir,
Which activation function is used in YOLOv9?
Which attention module is used in YOLOv9?

businessjournal
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halo pak, saya mau checkout course bapak di udemy, apakah ada promo/voucher diskon😃 thanks

fxxkingawesome