SR Datasets
有挺多人问我关于超分辨率重建的数据集的问题，这里把超分辨率重建领域常用的数据集list出来
| Name | Datasets | Short Description | Google Drive | Baidu Drive |
|---|---|---|---|---|
| Classical SR Training | T91 | 91 images for training | Google Drive | Baidu Drive |
| BSDS200 | A subset (train) of BSD500 for training | |||
| General100 | 100 images for training | |||
| Classical SR Testing | Set5 | Set5 test dataset | ||
| Set14 | Set14 test dataset | |||
| BSDS100 | A subset (test) of BSD500 for testing | |||
| urban100 | 100 building images for testing (regular structures) | |||
| manga109 | 109 images of Japanese manga for testing | |||
| historical | 10 gray LR images without the ground-truth | |||
| 2K Resolution | DIV2K | proposed in NTIRE17(800 train and 100 validation) | Google Drive | Baidu Drive |
| Flickr2K | 2650 2K images from Flickr for training | |||
| DF2K | A merged training dataset of DIV2K and Flickr2K | |||
| OST (Outdoor Scenes) | OST Training | 7 categories images with rich textures | Google Drive | Baidu Drive |
| OST300 | 300 test images of outdoor scences | |||
| PIRM | PIRM | PIRM self-val, val, test datasets | Google Drive | Baidu Drive |
Reference
https://github.com/xinntao/BasicSR
