Methods › Computer Vision › Image Data Augmentation
Image Data Augmentation
Image Data Augmentation refers to a class of methods that augment an image dataset to increase the effective size of the training set, or as a form of regularization to help the network learn more effective representations.
Methods
All 38 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| GPS Greedy Policy Search | – | 707 |
| Mixup | – | 651 |
| Random Resized Crop | – | 303 |
| ColorJitter Color Jitter | – | 260 |
| Random Gaussian Blur | – | 260 |
| CutMix | – | 208 |
| Random Horizontal Flip | – | 78 |
| ADA Adaptive Discriminator Augmentation | – | 68 |
| RandAugment | – | 67 |
| Cutout | – | 64 |
| AutoAugment | – | 60 |
| Copy-Paste simple Copy-Paste | – | 47 |
| APA Adaptive Pseudo Augmentation | – | 25 |
| AugMix | – | 20 |
| Random Erasing | – | 19 |
| Random Scaling | – | 13 |
| PAA Patch AutoAugment | – | 10 |
| Image Scale Augmentation | – | 9 |
| Fast AutoAugment | – | 7 |
| DG-Net Discriminative and Generative Network | – | 4 |
| GridMask | – | 3 |
| Population Based Augmentation | – | 3 |
| Random Grayscale | – | 3 |
| FMix | – | 2 |
| Handwritten OCR Handwritten OCR augmentation | – | 2 |
| InstaBoost | – | 2 |
| LFPNet (TTA) LFPNet with test time augmentation | – | 2 |
| Local Mixup | – | 2 |
| SuperpixelGridMasks SuperpixelGridCut, SuperpixelGridMean, SuperpixelGridMix | – | 2 |
| 3-Augment | – | 1 |
| Batchboost | – | 1 |
| CutBlur | – | 1 |
| OA-Mix Object-Aware Mix | – | 1 |
| Object Dropout | – | 1 |
| R-Mix Random Mix-up | – | 1 |
| RandomRotate | – | 1 |
| Sample Redistribution | – | 1 |
| imagemorph Random elastic image morphing | – | 0 |