Saving Augmented Images about yolov5 HOT 1 OPEN

Hello!

It sounds like you've implemented a smart strategy for handling data augmentations! However, when you pre-generate and save augmented images as static datasets, there could be a loss in the variability and randomness that on-the-fly augmentations provide during training, potentially impacting the model's ability to generalize well.

It's important to ensure that your static dataset has sufficient diversity and coverage of possible variations. Consider also integrating a mix of augmented and original images in your training batches to maintain some level of randomness.

If accuracy continues to be an issue, reviewing the types of augmentations and their parameters might help. Sometimes, excessive or improperly tuned augmentations can distort the learning process rather than aiding it.

Keep up the experimentation! 🚀

from yolov5.