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Fapaak t1_itrsfcg wrote

A common problem in object detection is unbalanced dataset, if you cut out squares from the image and say 100 squares are background and 5 are the symbol, the model may not learn to distinguish it.

Try balancing the dataset if thats your issue and try to use Focal Loss

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MLFanatic1337 t1_itsgvwa wrote

Also multi-instance learning methods could be helpful, in this case to be more resilient to background data.

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