README.md

---
task_categories:
- image-to-image
tags:
- DIV2K
- Flickr2K
- DF2K
- super-resolution
- low-level-vision
pretty_name: DF2K (DIV2K + Flickr2K)
size_categories:
- 1K<n<10K
viewer: false
---
# DF2K (DIV2K + Flickr2K)

**The dataset mirror** for [ClarityCore](https://github.com/Bezdarnost/claritycore) project.

**Research-only dataset. I do not own any of the images.**
DF2K is a convenience merge of the public **DIV2K** and **Flickr2K** datasets commonly used for single-image super-resolution research. This mirror is provided **solely to facilitate open research**. See *Licensing & Permissions* and *Takedown* below.

> If you are a rights holder and want any content removed, please see the **Takedown** section and I will promptly delete the images, portions of the dataset, or the entire dataset.

---

## Dataset Summary

* **Name:** DF2K
* **Sources:** [DIV2K](https://data.vision.ee.ethz.ch/cvl/DIV2K/) + [Flickr2K](https://github.com/limbee/NTIRE2017)
* **Task:** Single Image Super-Resolution (SISR) and related low-level vision tasks
* **Intended use:** **Non-commercial research and benchmarking only**
* **Size:** 3550 images for each scale (HR, LRx2, LRx3, LRx4)

---

## Contents

This repo simply **combines the original DIV2K and Flickr2K images** as commonly referenced in SISR literature. No additional annotations or labels beyond what the original sources provide.

Folder structure:

```
DF2K-bicubic/
├── hr/   # High-resolution ground-truth images (originals from DIV2K + Flickr2K). Used as targets.
├── x2/   # Low-resolution images downsampled from HR by a factor of 2 using bicubic. For ×2 SR.
├── x3/   # Low-resolution images downsampled from HR by a factor of 3 using bicubic. For ×3 SR.
└── x4/   # Low-resolution images downsampled from HR by a factor of 4 using bicubic. For ×4 SR.
```

---

## How to Use

In terminal:
```bash
pip install -U huggingface_hub git-lfs

huggingface-cli download \
  --repo-type dataset bezdarnost/DF2K-bicubic \
  --local-dir /path/to/DF2K-bicubic \
  --local-dir-use-symlinks False
```

Or with python:
```python
from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="bezdarnost/DF2K-bicubic",
    repo_type="dataset",
    local_dir="/path/to/DF2K-bicubic",
    local_dir_use_symlinks=False,
)
```

---

## Supported Tasks & Benchmarks

* **Single Image Super-Resolution (SISR)**
* Image restoration and low-level vision pretraining

---

## Data Licenses, Ownership, and Permissions (Important)

* I am **not** the creator or owner of **DIV2K** or **Flickr2K**.
* This repository is a **research mirror** to make experiments more accessible.
* **No warranties. No commercial use.**
* For **copyright, license, and usage terms**, please refer to the **original sources**:

  * **DIV2K:** [https://data.vision.ee.ethz.ch/cvl/DIV2K/](https://data.vision.ee.ethz.ch/cvl/DIV2K/)
  * **Flickr2K (NTIRE2017):** [https://github.com/limbee/NTIRE2017](https://github.com/limbee/NTIRE2017)

If the original licenses or terms prohibit mirroring or require removal, I will comply—please contact me (see *Contact*).

---

## Ethical Considerations

* Images originate from third-party sources; please respect privacy, attribution, and any usage restrictions from the original datasets.
* Do **not** use this dataset for applications that may infringe on privacy, cause harm, or violate original terms.

---

## Citations

### DIV2K

Collected from: [https://data.vision.ee.ethz.ch/cvl/DIV2K/](https://data.vision.ee.ethz.ch/cvl/DIV2K/)

```bibtex
@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},
  month     = {July},
  year      = {2017}
}
```

### Flickr2K (NTIRE2017)

Collected from: [https://github.com/limbee/NTIRE2017](https://github.com/limbee/NTIRE2017)

```bibtex
@InProceedings{Timofte_2017_CVPR_Workshops,
  author    = {Timofte, Radu and Agustsson, Eirikur and Van Gool, Luc and Yang, Ming-Hsuan and Zhang, Lei and others},
  title     = {NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  month     = {July}
}
```

---

## Takedown & Contact

I **do not claim any rights** to the images. If you are a rights holder or dataset maintainer and wish for any content to be removed:

* Open an **Issue** on this repository **or**
* Send an email to **amanurumbekov@gmail.com** with:

  * A link to this dataset card
  * The specific files/paths in question
  * Proof of ownership or an authoritative request

I will remove the specified content **promptly**.

---

## Disclaimer

This dataset mirror is provided **as-is** for **research purposes only**. I receive **no compensation** from hosting it. By using this dataset, you agree to comply with the terms of the **original sources** and all applicable laws and licenses. If any term conflicts with the original datasets’ licenses or policies, the **original terms prevail**.