| --- |
| 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 |
|
|
| ```python |
| 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> |
|
|
| ```bibtex |
| @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. |
|
|
