YOLOv9 is better than any convolution or transformer based object detectors

[AlexeyAB]

YOLOv9 is better than any convolution or transformer based object detectors

• Paper: https://arxiv.org/abs/2402.13616
• Code: https://github.com/WongKinYiu/yolov9

[waytechpro]

Absolutely! YOLOv9 certainly stands out among object detectors with its efficient architecture and remarkable performance. Its streamlined approach surpasses traditional convolutional and transformer-based models in terms of speed and accuracy. If you're keen on exploring cutting-edge object detection capabilities, YOLOv9 is definitely worth considering. Ready to elevate your detection game? Click here to learn more.

[1027663760]

Have you considered adapting YOLOV9 for Darknet?

[toplinuxsir]

It is a great idea!

[TaihuLight]

@AlexeyAB @cenit @stephanecharette @toplinuxsir
It is better to implement YOLOv9 in this version of darknet rather than the newer one hank-ai/darknet. This is because C programming is more suitable for edge devices than C++.

[stephanecharette]

This is because C programming is more suitable for edge devices than C++.

As someone who uses Darknet/YOLO on edge devices, I strongly disagree.

[stephanecharette]

You may also want to watch this video: https://www.youtube.com/watch?v=2Mq23LFv1aM