Summary
A user on r/ML is struggling to train an effective object detection (OD) model, despite achieving high mAP50 scores, as it performs poorly in practical applications. They've attempted various models, including YOLO11n for deployment on an RPI5, but are unable to achieve satisfactory real-world detection results. The user, not an AI expert, is seeking guidance to bridge the gap between numerical metrics and practical model utility.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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