Image Data Augmentation
Random Horizontal Flip
RandomHorizontalFlip is a type of image data augmentation which horizontally flips a given image with a given probability.
Image Credit: Apache MXNet
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Classification | 54 | 22.88% |
| Object Detection | 43 | 18.22% |
| General Classification | 26 | 11.02% |
| Semantic Segmentation | 15 | 6.36% |
| Instance Segmentation | 9 | 3.81% |
| Real-Time Object Detection | 6 | 2.54% |
| Classification | 6 | 2.54% |
| Domain Generalization | 5 | 2.12% |
| Object Recognition | 5 | 2.12% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
