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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.20113972 |
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| _version_ | 1866901559966695424 |
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| author | Karakavalasa, Naveen |
| author_facet | Karakavalasa, Naveen |
| contents | <p>13 real-world receipt documents with field-level ground truth <br>annotations across 14 registry fields. Documents span grocery <br>retail (Target, Walmart ×2, Costco ×2, ALDI), restaurant <br>(Taco Bell), department store (Marshalls), service (USPS ×2), <br>specialty grocery (Newark Farmers Market, Food Lion), and <br>handwritten payment receipt. Annotated for use with the <br>DocPipeline framework (see related software).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20113972 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Enterprise Receipt Corpus: 13 Annotated Real-World Receipts for Document AI Pipeline Evaluation Karakavalasa, Naveen <p>13 real-world receipt documents with field-level ground truth <br>annotations across 14 registry fields. Documents span grocery <br>retail (Target, Walmart ×2, Costco ×2, ALDI), restaurant <br>(Taco Bell), department store (Marshalls), service (USPS ×2), <br>specialty grocery (Newark Farmers Market, Food Lion), and <br>handwritten payment receipt. Annotated for use with the <br>DocPipeline framework (see related software).</p> |
| title | Enterprise Receipt Corpus: 13 Annotated Real-World Receipts for Document AI Pipeline Evaluation |
| url | https://doi.org/10.5281/zenodo.20113972 |