- Description:
DIV2K dataset: DIVerse 2K resolution high quality images as used for the challenges @ NTIRE (CVPR 2017 and CVPR 2018) and @ PIRM (ECCV 2018)
Additional Documentation: Explore on Papers With Code
Source code:
tfds.datasets.div2k.BuilderVersions:
2.0.0(default): No release notes.
Auto-cached (documentation): No
Feature structure:
FeaturesDict({
'hr': Image(shape=(None, None, 3), dtype=uint8),
'lr': Image(shape=(None, None, 3), dtype=uint8),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| FeaturesDict | ||||
| hr | Image | (None, None, 3) | uint8 | |
| lr | Image | (None, None, 3) | uint8 |
Supervised keys (See
as_superviseddoc):('lr', 'hr')Figure (tfds.show_examples): Not supported.
Citation:
@InProceedings{Agustsson_2017_CVPR_Workshops,
author = {Agustsson, Eirikur and Timofte, Radu},
title = {NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
url = "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-CVPRW-2017.pdf",
month = {July},
year = {2017}
}
div2k/bicubic_x2 (default config)
Config description: Uses bicubic_x2 data.
Download size:
4.68 GiBDataset size:
4.68 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/bicubic_x3
Config description: Uses bicubic_x3 data.
Download size:
4.16 GiBDataset size:
4.16 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/bicubic_x4
Config description: Uses bicubic_x4 data.
Download size:
3.97 GiBDataset size:
3.97 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/bicubic_x8
Config description: Uses bicubic_x8 data.
Download size:
3.78 GiBDataset size:
3.78 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/unknown_x2
Config description: Uses unknown_x2 data.
Download size:
4.48 GiBDataset size:
4.48 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/unknown_x3
Config description: Uses unknown_x3 data.
Download size:
4.10 GiBDataset size:
4.11 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/unknown_x4
Config description: Uses unknown_x4 data.
Download size:
3.93 GiBDataset size:
3.93 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/realistic_mild_x4
Config description: Uses realistic_mild_x4 data.
Download size:
4.00 GiBDataset size:
4.00 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/realistic_difficult_x4
Config description: Uses realistic_difficult_x4 data.
Download size:
3.98 GiBDataset size:
3.99 GiBSplits:
| Split | Examples |
|---|---|
'train' |
800 |
'validation' |
100 |
- Examples (tfds.as_dataframe):
div2k/realistic_wild_x4
Config description: Uses realistic_wild_x4 data.
Download size:
4.74 GiBDataset size:
14.62 GiBSplits:
| Split | Examples |
|---|---|
'train' |
3,200 |
'validation' |
100 |
- Examples (tfds.as_dataframe):