Naive_Coconut_Cook t1_iqnci6f wrote on October 1, 2022 at 5:37 PM

Perhaps it’s upweighting after downsampling the data set?

https://developers.google.com/machine-learning/data-prep/construct/sampling-splitting/imbalanced-data

Lugi OP t1_iqndvf5 wrote on October 1, 2022 at 5:46 PM

Nothing like this happens in the data, in object detection you cannot really address the imbalance by resampling the data, since the imbalance is inherent to the way targets are generated - you have a lot of 0 targets since you have a lot of background objects, and only a few positive objects to be detected.