Library seat detection using yolov5

Aoi-00 commented 2 years ago

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Question

Hi! I am intending to use yolov5 for one of my projects on library seat detection. I hope to detect if a seat is occupied by:

Checking for a human in a bounding box
Checking for a chair in a bounding box
If their bounding box overlaps, the seat is occupied

May I ask if this is possible through yolov5 as I have not seen a similar application before?

Thank you in advance for the help and guidance!

Additional

No response

github-actions[bot] commented 2 years ago

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glenn-jocher commented 2 years ago

@Aoi-00 sounds like the perfect example application!

Aoi-00 commented 2 years ago

Pardon me, do you mean there is a example application/ tutorial online that perfectly suits this description?

glenn-jocher commented 2 years ago

@Aoi-00 this is a default use case for YOLOv5, nothing special is required. To get started go to https://docs.ultralytics.com/yolov5/tutorials/train_custom_data

Aoi-00 commented 2 years ago

I see, thanks for such answering in such a prompt manner!

However, I noticed that the chair and human detection on pretrained coco.yaml is sufficient for my project, which is great! But is there a way to add-on separate items for detection, such as books/water bottles etc (items that would appear on a library desk to indicate its occupancy), while still using the pretrained human and chair detection models?

glenn-jocher commented 2 years ago

@Aoi-00 books and bottles are already in COCO: https://github.com/ultralytics/yolov5/blob/cf4f3c3455d14c62e11dcce9f1d30211509da72f/data/coco.yaml#L16-L27

Aoi-00 commented 2 years ago

Oh that's great!

Is there a way to set a predefined bounding box, eg. Assign some seat bounding boxes in which they will try to detect for humans/chairs?

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glenn-jocher commented 10 months ago

@Aoi-00 Yes, you can define your own bounding boxes by creating a custom dataset with labeled seat bounding boxes. You can refer to the YOLOv5 documentation for creating custom datasets and annotations.

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