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mosaic data augmentation #7808
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@hjw-0909 👋 Hello! Thanks for asking about image augmentation. YOLOv5 🚀 applies online imagespace and colorspace augmentations in the trainloader (but not the val_loader) to present a new and unique augmented Mosaic (original image + 3 random images) each time an image is loaded for training. Images are never presented twice in the same way. Augmentation HyperparametersThe hyperparameters used to define these augmentations are in your hyperparameter file (default
yolov5/data/hyps/hyp.scratch-low.yaml Lines 6 to 34 in b94b59e
Augmentation PreviewsYou can view the effect of your augmentation policy in your train_batch*.jpg images once training starts. These images will be in your train logging directory, typically
YOLOv5 Albumentations IntegrationYOLOv5 🚀 is now fully integrated with Albumentations, a popular open-source image augmentation package. Now you can train the world's best Vision AI models even better with custom Albumentations 😃! PR #3882 implements this integration, which will automatically apply Albumentations transforms during YOLOv5 training if Example Good luck 🍀 and let us know if you have any other questions! |
@glenn-jocher thank you very much. |
@hjw-0909 you're welcome! If you need any more help, don't hesitate to ask. Good luck with your YOLOv5 project! |
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Question
How can I get the picture after mosaic data augmentation,like this
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