---
license: cc-by-4.0
pretty_name: QR-DN1.0 — Distorted and Noisy QR Codes
task_categories:
- image-to-image
- image-to-text
tags:
- qr-code
- denoising
- restoration
- barcode
size_categories:
- 1K<n<10K
configs:
- config_name: aligned
  data_files:
  - split: train
    path: data/aligned/train*.parquet
  - split: test
    path: data/aligned/test*.parquet
- config_name: source_qr
  data_files:
  - split: train
    path: data/source_qr/train*.parquet
  - split: test
    path: data/source_qr/test*.parquet
---

# QR-DN1.0 — Distorted and Noisy QRs

A **mirror** of QR-DN1.0 (Mendeley Data, DOI
[10.17632/t2bdr663ms.2](https://doi.org/10.17632/t2bdr663ms.2)), repackaged as
parquet with the five aligned image variants joined into single rows.

Released by its authors under **CC BY 4.0**, which is what makes this mirror
straightforwardly permitted with attribution.

## Configs

### `aligned` — 1,500 train / 750 test

Five variants of the same sample, one row each. The upstream directories were
verified to carry **identical stems**, set-equal across all five, so the join is
exact rather than approximate — no row is dropped or padded.

| column | upstream directory |
|---|---|
| `target` | `target/` |
| `target_quad` | `target quad/` |
| `extracted_one` | `extracted One/` |
| `extracted_quad` | `extracted Quad/` |
| `extracted_voted` | `extracted Voted/` |

### `source_qr` — 50 train / 25 test

The `QR/` directory: source codes named `ht1…htN`, on a naming scheme unrelated
to the aligned samples.

## An honest limit on this card

**The semantics of the five variants are not documented here**, because this is
a mirror and the packager did not establish which variant is input, which is
ground truth, or what "One", "Quad" and "Voted" denote as methods. The names are
preserved exactly as published so they can be matched against the paper. For the
authoritative description, go to the DOI. If you want a card that explains the
protocol, that should come from someone who has read the paper, not from the
directory listing.

## Usage

```python
from datasets import load_dataset

ds = load_dataset("devmandan/qr-dn1.0", "aligned", split="train")
row = ds[0]
row["target"], row["extracted_voted"]      # PIL images, same sample

src = load_dataset("devmandan/qr-dn1.0", "source_qr", split="train")
```

## Single images

`images/` holds single JPEG files of the test-split pictures that the QR Scan Difficulty page links to as examples,
so a reader can open one exact picture and try it with a phone. Each is byte-identical to the image in this dataset's
Parquet tables: `images/test/<sample_id>_<variant>.jpg` (for example `1516_extracted_voted.jpg`), and source codes
as `images/source_qr/<name>.jpg`. The viewer and `load_dataset` read only `data/`, so they are unchanged.

## Citation

```bibtex
@misc{qrdn1_2021,
  title     = {QR-DN1.0: A new Distorted and Noisy QRs dataset},
  author    = {Monfared, Milad and Koochari, Abbas and Monshinmotlagh, Radin},
  year      = {2021},
  publisher = {Mendeley Data},
  version   = {V2},
  doi       = {10.17632/t2bdr663ms.2}
}
```

Licence: CC BY 4.0 — <https://creativecommons.org/licenses/by/4.0/>
Please cite the authors above, not this mirror, when using the data.