mlsanityData to 14 Oct 2026

FATURA: A Multi-Layout Invoice Image Dataset for Document Analysis and Understanding

arXiv 2311.11856 ↗First posted 20 Nov 2023cs.CVcited by 4

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Abstract (arXiv)

Document analysis and understanding models often require extensive annotated data to be trained. However, various document-related tasks extend beyond mere text transcription, requiring both textual content and precise bounding-box annotations to identify different document elements. Collecting such data becomes particularly challenging, especially in the context of invoices, where privacy concerns add an additional layer of complexity. In this paper, we introduce FATURA, a pivotal resource for researchers in the field of document analysis and understanding. FATURA is a highly diverse dataset featuring multi-layout, annotated invoice document images. Comprising 10,000 invoices with 50 distinct layouts, it represents the largest openly accessible image dataset of invoice documents known to date. We also provide comprehensive benchmarks for various document analysis and understanding tasks and conduct experiments under diverse training and evaluation scenarios. The dataset is freely accessible at https://zenodo.org/record/8261508, empowering researchers to advance the field of document analysis and understanding.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 20 of its 29 references that are in the map. First posted on arXiv 20 Nov 2023.

Builds on

20 of 29 references.

References · 20

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8 more
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Citing papers per year: 2025: 2; 2026: 2.

4 papers.