overall mAPprecision / recallper-class APtiny / small / largecrowding / densityrare classesfalse positivesmisseslocalizationduplicate predictionserror ledgerpairwise complementarity
Trajectories
Train loss, validation loss, and validation mAP across epochs.
Selection landmarks
Best-mAP epoch, best-validation-loss epoch, and final epoch.
No synthetic score
Report the trajectories and landmarks separately; do not combine mAP and loss into one score.
Select for strong individual performance plus useful nonredundancy—not headline mAP alone.