Hi there,
When I train yolov5 pytorch on my custom dataset, I tried an experiment.
Ep1: Firstly, I train my dataset (folder Dataset1) with args ‘agment’ = True. Then I save all image augmentation and label files when it create_dataLoader to Dataset2 folder (with train/val split like Dataset1).
Ep2: Next, I trained model with this augmentation dataset (Dataset2) and set up ‘augment’=False.
This problem is, the Ep1 (training with ‘augment’ = True) got the better results than Ep2 which new augment data I saved. I get map@.5 = 0.978 on Ep1 and map@.5=0.685 on Ep2 .I don’t know why results are different, whereas I checked results between two approaches many times.
Below is result I training Dataset2.
Thanks a lot <3

results2400×1200 247 KB