Object Detection on YOLO

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I have question regarding Yolo Object detection using raspberry Pi. I watch your tutorial and it works wonderful for me. May I know, if we wanted to detect an object using custom dataset for speaker, what should we do? Because from the code, we import ‘Yolo11n.pt’ and no address to add for custom dataset.

This is your tutorial link: https://youtu.be/XKIm_R_rIeQ?si=3rN_6eKH2SX4qGnG

Thank you for your time.

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Use tools like LabelImg or Roboflow to annotate the images.

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I should have a play-around with Roboflow at some point.
Looking through their applications for different industries is very fascinating.

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Hey Nur,

In that video, we also set up YOLO World which can detect objects based on a prompt. I am unsure how well it will find “speaker”, but there is a chance it may be able to (some objects it does amazingly well, some it can’t).

Hugging Face is my source for community-trained models, but I can’t see any to detect speakers at a quick glance.

If not you will need to train your model and your best bets would be Roboflow or Ultralytics HUB.

Best of luck!

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