Update Keras-CV object detection tutorial from Keras 2 to Keras 3 for new YOLO version (at least YOLOv9 or newer)

[leo-smi]

Short Description

Add a keras cv object detection tutorial for Keras 3 for new yolo version (yolov9 or newer)
https://keras.io/examples/vision/yolov8/

Sources

https://github.com/keras-team/keras-io/blob/master/examples/vision/yolov8.py
https://github.com/WongKinYiu/yolov9
https://github.com/THU-MIG/yolov10

Other Information

The new tutorial need to add the exactly requirements that works, since the current tutorial is not good at this point.

[innat-asj]

The new tutorial need to add the exactly requirements that works, since the current tutorial is not good at this point.

It is better to choosing ultralytics, anything else is just waste of time (IMHO).

[leo-smi]

The new tutorial need to add the exactly requirements that works, since the current tutorial is not good at this point.

It is better to choosing ultralytics, anything else is just waste of time (IMHO).

I don't have cuda gpu, so...

[innat-asj]

You don't have to, I could run these yolo-boys on any device (without wasting a second).

[leo-smi]

You don't have to, I could run these yolo-boys on any device (without wasting a second).

Thank you

[sachinprasadhs]

Thanks for reporting the issue! We have consolidated the development of KerasCV into the new KerasHub package, which supports image, text, and multi-modal models. Please read the announcement. KerasHub will support all the core functionality of KerasCV.

KerasHub can be installed with !pip install -U keras-hub. Documentation and guides are available at keras.io/keras_hub.

With our focus shifted to KerasHub, we are not planning any further development or releases in KerasCV. If you encounter a KerasCV feature that is missing from KerasHub, or would like to propose an addition to the library, please file an issue with KerasHub.

[github-actions]

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[github-actions]

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