div2k
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DIV2K dataset: DIVerse 2K resolution high quality images as used for the
challenges @ NTIRE (CVPR 2017 and CVPR 2018) and @ PIRM (ECCV 2018)
FeaturesDict({
'hr': Image(shape=(None, None, 3), dtype=uint8),
'lr': Image(shape=(None, None, 3), dtype=uint8),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
hr |
Image |
(None, None, 3) |
uint8 |
|
lr |
Image |
(None, None, 3) |
uint8 |
|
@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)
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/bicubic_x3
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/bicubic_x4
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/bicubic_x8
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/unknown_x2
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/unknown_x3
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/unknown_x4
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/realistic_mild_x4
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/realistic_difficult_x4
Split |
Examples |
'train' |
800 |
'validation' |
100 |
div2k/realistic_wild_x4
Split |
Examples |
'train' |
3,200 |
'validation' |
100 |
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Last updated 2024-06-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-01 UTC."],[],[],null,["# div2k\n\n\u003cbr /\u003e\n\n- **Description**:\n\nDIV2K dataset: DIVerse 2K resolution high quality images as used for the\nchallenges @ NTIRE (CVPR 2017 and CVPR 2018) and @ PIRM (ECCV 2018)\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/div2k)\n\n- **Homepage** :\n \u003chttps://data.vision.ee.ethz.ch/cvl/DIV2K/\u003e\n\n- **Source code** :\n [`tfds.datasets.div2k.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/div2k/div2k_dataset_builder.py)\n\n- **Versions**:\n\n - **`2.0.0`** (default): No release notes.\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Feature structure**:\n\n FeaturesDict({\n 'hr': Image(shape=(None, None, 3), dtype=uint8),\n 'lr': Image(shape=(None, None, 3), dtype=uint8),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|--------------|-----------------|-------|-------------|\n| | FeaturesDict | | | |\n| hr | Image | (None, None, 3) | uint8 | |\n| lr | Image | (None, None, 3) | uint8 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('lr', 'hr')`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n Not supported.\n\n- **Citation**:\n\n @InProceedings{Agustsson_2017_CVPR_Workshops,\n author = {Agustsson, Eirikur and Timofte, Radu},\n title = {NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study},\n booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},\n url = \"http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-CVPRW-2017.pdf\",\n month = {July},\n year = {2017}\n }\n\ndiv2k/bicubic_x2 (default config)\n---------------------------------\n\n- **Config description**: Uses bicubic_x2 data.\n\n- **Download size** : `4.68 GiB`\n\n- **Dataset size** : `4.68 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/bicubic_x3\n----------------\n\n- **Config description**: Uses bicubic_x3 data.\n\n- **Download size** : `4.16 GiB`\n\n- **Dataset size** : `4.16 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/bicubic_x4\n----------------\n\n- **Config description**: Uses bicubic_x4 data.\n\n- **Download size** : `3.97 GiB`\n\n- **Dataset size** : `3.97 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/bicubic_x8\n----------------\n\n- **Config description**: Uses bicubic_x8 data.\n\n- **Download size** : `3.78 GiB`\n\n- **Dataset size** : `3.78 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/unknown_x2\n----------------\n\n- **Config description**: Uses unknown_x2 data.\n\n- **Download size** : `4.48 GiB`\n\n- **Dataset size** : `4.48 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/unknown_x3\n----------------\n\n- **Config description**: Uses unknown_x3 data.\n\n- **Download size** : `4.10 GiB`\n\n- **Dataset size** : `4.11 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/unknown_x4\n----------------\n\n- **Config description**: Uses unknown_x4 data.\n\n- **Download size** : `3.93 GiB`\n\n- **Dataset size** : `3.93 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/realistic_mild_x4\n-----------------------\n\n- **Config description**: Uses realistic_mild_x4 data.\n\n- **Download size** : `4.00 GiB`\n\n- **Dataset size** : `4.00 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/realistic_difficult_x4\n----------------------------\n\n- **Config description**: Uses realistic_difficult_x4 data.\n\n- **Download size** : `3.98 GiB`\n\n- **Dataset size** : `3.99 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 800 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ndiv2k/realistic_wild_x4\n-----------------------\n\n- **Config description**: Uses realistic_wild_x4 data.\n\n- **Download size** : `4.74 GiB`\n\n- **Dataset size** : `14.62 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'train'` | 3,200 |\n| `'validation'` | 100 |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples..."]]