Datasets:
image imagewidth (px) 1.6k 1.6k | mask imagewidth (px) 1.6k 1.6k | file_name stringlengths 7 7 | stem stringlengths 3 3 | subset stringclasses 1
value | has_mask bool 1
class |
|---|---|---|---|---|---|
001.jpg | 001 | huawei | true | ||
002.jpg | 002 | huawei | true | ||
003.jpg | 003 | huawei | true | ||
004.jpg | 004 | huawei | true | ||
005.jpg | 005 | huawei | true | ||
006.jpg | 006 | huawei | true | ||
007.jpg | 007 | huawei | true | ||
008.jpg | 008 | huawei | true | ||
009.jpg | 009 | huawei | true | ||
010.jpg | 010 | huawei | true | ||
011.jpg | 011 | huawei | true | ||
012.jpg | 012 | huawei | true | ||
013.jpg | 013 | huawei | true | ||
014.jpg | 014 | huawei | true | ||
015.jpg | 015 | huawei | true | ||
016.jpg | 016 | huawei | true | ||
017.jpg | 017 | huawei | true | ||
018.jpg | 018 | huawei | true | ||
019.jpg | 019 | huawei | true | ||
020.jpg | 020 | huawei | true | ||
021.jpg | 021 | huawei | true | ||
022.jpg | 022 | huawei | true | ||
023.jpg | 023 | huawei | true | ||
024.jpg | 024 | huawei | true | ||
025.jpg | 025 | huawei | true | ||
026.jpg | 026 | huawei | true | ||
027.jpg | 027 | huawei | true | ||
028.jpg | 028 | huawei | true | ||
029.jpg | 029 | huawei | true | ||
030.jpg | 030 | huawei | true | ||
031.jpg | 031 | huawei | true | ||
032.jpg | 032 | huawei | true | ||
033.jpg | 033 | huawei | true | ||
034.jpg | 034 | huawei | true | ||
035.jpg | 035 | huawei | true | ||
036.jpg | 036 | huawei | true | ||
037.jpg | 037 | huawei | true | ||
038.jpg | 038 | huawei | true | ||
039.jpg | 039 | huawei | true | ||
040.jpg | 040 | huawei | true | ||
041.jpg | 041 | huawei | true | ||
042.jpg | 042 | huawei | true | ||
043.jpg | 043 | huawei | true | ||
044.jpg | 044 | huawei | true | ||
045.jpg | 045 | huawei | true | ||
046.jpg | 046 | huawei | true | ||
047.jpg | 047 | huawei | true | ||
048.jpg | 048 | huawei | true | ||
049.jpg | 049 | huawei | true | ||
050.jpg | 050 | huawei | true | ||
051.jpg | 051 | huawei | true | ||
052.jpg | 052 | huawei | true | ||
053.jpg | 053 | huawei | true | ||
054.jpg | 054 | huawei | true | ||
055.jpg | 055 | huawei | true | ||
056.jpg | 056 | huawei | true | ||
057.jpg | 057 | huawei | true | ||
058.jpg | 058 | huawei | true | ||
059.jpg | 059 | huawei | true | ||
060.jpg | 060 | huawei | true | ||
061.jpg | 061 | huawei | true | ||
062.jpg | 062 | huawei | true | ||
063.jpg | 063 | huawei | true | ||
064.jpg | 064 | huawei | true | ||
065.jpg | 065 | huawei | true | ||
066.jpg | 066 | huawei | true | ||
067.jpg | 067 | huawei | true | ||
068.jpg | 068 | huawei | true | ||
069.jpg | 069 | huawei | true | ||
070.jpg | 070 | huawei | true | ||
071.jpg | 071 | huawei | true | ||
072.jpg | 072 | huawei | true | ||
073.jpg | 073 | huawei | true | ||
074.jpg | 074 | huawei | true | ||
075.jpg | 075 | huawei | true | ||
076.jpg | 076 | huawei | true | ||
077.jpg | 077 | huawei | true | ||
078.jpg | 078 | huawei | true | ||
079.jpg | 079 | huawei | true | ||
080.jpg | 080 | huawei | true | ||
081.jpg | 081 | huawei | true | ||
082.jpg | 082 | huawei | true | ||
083.jpg | 083 | huawei | true | ||
084.jpg | 084 | huawei | true | ||
085.jpg | 085 | huawei | true | ||
086.jpg | 086 | huawei | true | ||
087.jpg | 087 | huawei | true | ||
088.jpg | 088 | huawei | true | ||
089.jpg | 089 | huawei | true | ||
090.jpg | 090 | huawei | true | ||
091.jpg | 091 | huawei | true | ||
092.jpg | 092 | huawei | true | ||
093.jpg | 093 | huawei | true | ||
094.jpg | 094 | huawei | true | ||
095.jpg | 095 | huawei | true | ||
096.jpg | 096 | huawei | true | ||
097.jpg | 097 | huawei | true | ||
098.jpg | 098 | huawei | true |
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.
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