Is it possible to add ShuffleNetV2 as backbone in the official repo? about yolov5 HOT 2 OPEN

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Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started:

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cd yolov5
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Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics

from yolov5.

Hello! Thanks for bringing up the idea of incorporating ShuffleNetV2 as a backbone for YOLOv5. 🚀

We're always excited to explore ways to improve and adapt YOLOv5 for various device efficiencies and accuracies. While integrating a new backbone like ShuffleNetV2 can potentially enhance YOLOv5 for mobile and edge devices, such updates require thorough testing and validation to maintain the balance between speed, accuracy, and compatibility.

As of now, we encourage community contributions and experiments with different backbones. If you're interested in implementing ShuffleNetV2 yourself, you can fork the repo and try integrating it. This could be a valuable contribution to the community if shared back. Also, keep an eye on our updates; we're continually exploring new ideas!

For more guidance on contributing or custom modifications, check out the docs at https://docs.ultralytics.com/yolov5/.

Thanks for your enthusiasm and suggestions! 💡

from yolov5.