Trigger when detection lost about supervision

[SkalskiP]

Hi @wong-kene 👋🏻 At present, there is no distinction between the situation when an object crosses the zone boundaries and simply disappears. We plan to add cross_in and cross_our counts for the polygon zone.

[wong-kene]

thanks for your response @SkalskiP
i have tried to use Dataset for 'small people' over internet. but nothing matched with requirement.
are you or anyone have recommendation dataset for 'small people'?

[SkalskiP]

@wong-kene, I guess the dataset is not the issue; the people are simply too small for the model to detect. As mentioned, you could detect them by increasing the model input resolution, but then your model would become slower.

[LinasKo]

Hi @wong-kene 👋

The primary solution here is to increase the quality of small object detection.
For that reason, I'll close this tracker feature request.

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However, I'd still like to help.

Here's some more info about small object detection with InferenceSlicer: https://supervision.roboflow.com/0.21.0/how_to/detect_small_objects/

If that runs too slow, there's a hybrid solution you can try:

1. Crop an image in the frame with crop_image
2. Run a separate model just on that area.

While the tracker IDs won't be compatible, you'll still know whether someone entered / left the problematic zone.

Let me know if that solves your issue!