I’m looking for open datasets of grocery and supermarket receipts to work with — ideally real-world ones, from any country.
Specifically interested in either:
- Receipt images (photos or scans), the messier and more varied the better — different chains, layouts, languages, print quality, crumpled/angled shots, etc.
- Parsed/structured versions — line items with product names, quantities, unit prices, totals, taxes, store metadata.
I’m already aware of the usual OCR benchmarks like SROIE (ICDAR 2019) and CORD, but those lean heavily toward a specific format and region. I’m hoping to find datasets that cover a wider range of stores and countries, and that include grocery-specific structure (individual product line items rather than just totals).
A few questions:
- Are there any grocery-focused receipt datasets you’d recommend beyond SROIE/CORD?
- Any non-English or non-US collections worth knowing about (European, Asian, Latin American formats, etc.)?
- Anything on Hugging Face, Kaggle, Roboflow, or academic repos that fits?
Bonus if the licensing allows use in a small project. Happy to hear about both raw image sets and pre-annotated ones.
Thanks in advance! Will consolidate any good pointers back into the thread for others searching later.
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