What should i do to have a good OD model?[P]

Reddit r/MachineLearning Tools
object-detection yolo training deployment raspberry-pi computer-vision model-optimization

Summary

A user is seeking advice on improving their object detection model trained with YOLO11n for deployment on a Raspberry Pi 5, struggling with the gap between theoretical mAP50 metrics and practical detection performance.

I’m tired of training a lot of models and trying different datasets but still my model is trash and can’t detect clearly it sometimes has mAP50 pf 80% but it is only in numbers not practical, what can i do to have a good model that can be used? I trained using YOLO11n to use it in RPI5 16GB RAM no AI hat, but still can’t get the results i want, i tried searching and learning what could go wrong but I can’t seem to find the right solution+ i’m not that big of an AI expert so.
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