Datasets:
license: cc-by-4.0
pretty_name: Bodnár-Huawei Syn10k — synthetic + real barcode images with masks
task_categories:
- image-segmentation
- object-detection
tags:
- qr-code
- barcode
- segmentation
- synthetic
size_categories:
- 10K<n<100K
configs:
- config_name: warp2014
data_files:
- split: train
path: data/warp2014/train*.parquet
- config_name: huawei
data_files:
- split: train
path: data/huawei/train*.parquet
Bodnár-Huawei Syn10k
A mirror of the syn10k_plus_huawei barcode dataset from the Szeged group
(Bodnár, Grósz, Tóth), repackaged as parquet with each image joined to its
ground-truth mask in the same row.
Released under CC BY 4.0, so this mirror is permitted with attribution.
Configs
| config | rows | content | with mask |
|---|---|---|---|
warp2014 |
10,000 | synthetic warped barcode images | 10,000 |
huawei |
98 | real photographs | 98 |
Every image has its mask — the pairing was verified by stem, and zero images in either config are missing one.
Fields
| field | notes |
|---|---|
image |
the picture (JPEG) |
mask |
the ground-truth mask (PNG) |
file_name, stem |
original filename and its stem |
subset |
warp2014 or huawei |
has_mask |
always true in this build; kept so the schema stays honest if a future revision has gaps |
Two notes on how to read this
The split name is a container, not a protocol. Both configs expose a single
split called train because HuggingFace requires a split name — it does not
encode the authors' intended train/test partition. warp2014 is synthetic and
huawei is real photographs, which is the natural synthetic-train / real-test
arrangement, but this mirror does not assert that the authors used it that way.
Consult the source publication before reporting numbers as theirs.
This is a barcode dataset, not a QR-only one. It is included in a QR collection because it is standard in the barcode-localisation literature and is one of the few sets shipping pixel masks. Check the masks for what you need rather than assuming every symbol is a QR code.
Usage
from datasets import load_dataset
syn = load_dataset("devmandan/syn10k-huawei-barcodes", "warp2014", split="train")
real = load_dataset("devmandan/syn10k-huawei-barcodes", "huawei", split="train")
syn[0]["image"], syn[0]["mask"] # PIL images, aligned
Citation
Original source: https://www.inf.u-szeged.hu/~bodnaar/barcode_database/syn10k_plus_huawei.zip
@misc{bodnar_syn10k,
title = {Syn10k + Huawei barcode database},
author = {Bodn\'ar, P\'eter and Gr\'osz, Tam\'as and T\'oth, L\'aszl\'o},
note = {Synthetic and real barcode images with ground-truth masks},
url = {https://www.inf.u-szeged.hu/~bodnaar/barcode_database/}
}
Licence: CC BY 4.0 — https://creativecommons.org/licenses/by/4.0/ Please cite the authors above, not this mirror.