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My yolo model does not work well on object detection in live video stream. Even if it has achieved great performance when training. #2787

Answered by glenn-jocher
CharliePip asked this question in Q&A
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@CharliePip your training pipeline probably suffers from both problems below, as randomly dividing video frames between train and val sets will produce artificially high mAP and poor generalization in the real world.

Here are our main suggestions:

👋 Hello! Thanks for asking about improving training results. Most of the time good results can be obtained with no changes to the models or training settings, provided your dataset is sufficiently large and well labelled. If at first you don't get good results, there are steps you might be able to take to improve, but we always recommend users first train with all default settings before considering any changes. This helps establish a performan…

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