I see that the detectnet v2 documentation has an
validation_data_source option in the dataset config. I wonder whether it’s possible to use this option also for the fasterrcnn?
Otherwise, the fasterrcnn has a
validation_fold option. When this option is set to zero, one can still see an mAP value coming out.
- Does this mean that the mAP is measured on the training set?
- If yes, when set to 1, what happens, does it measure on the validation set if there is a
val_splitprovisionned in the tfrecords data preparation?