---
license: cc-by-4.0
task_categories:
  - object-detection
tags:
  - document-layout
  - layout-analysis
  - coco
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: test
        path: manifest.csv
---

# RealDocBench-Layout

A 1,500-page document-layout benchmark for evaluating layout-detection
models on real-world documents. COCO-style annotations across **9 block
classes**.

## Contents

- `images/` — 1,500 page images (PNG / JPG / occasional WebP-as-PNG; see Caveats).
- `annotations/<pageId>.json` — per-page COCO files, each with a single
  `image` record, an `annotations` list, a `categories` list, and a
  `page_info` block.
- `manifest.csv` — pageId → domain + source URLs. The canonical row list.

## Block classes (9)

```
text, heading, section_heading, header, footer, page_number,
figure, table, key_value
```

| class | what it covers |
|---|---|
| `text` | body text and other inline content |
| `heading` | document title |
| `section_heading` | section / subsection titles |
| `header` | running page header |
| `footer` | running page footer |
| `page_number` | page-number indicators |
| `figure` | images, diagrams, charts, barcodes, QR codes |
| `table` | tabular data |
| `key_value` | form fields / key-value pairs |

The companion benchmark loader at
[`extend-hq/realdoc-bench`](https://github.com/extend-hq/realdoc-bench)
walks each annotation file and produces 9-class block predictions; see
`realdoc_bench/layout/normalizers/coco.py`.

## Loading

```python
from huggingface_hub import snapshot_download
path = snapshot_download(repo_id="Extend-AI/RealDocBench-Layout", repo_type="dataset")
```

## Caveats

**Mixed image formats.** 197 of the 1,500 images carry a `.png` extension
but their actual byte stream is WebP (171), GIF (23), or BMP (3). They
render correctly in PIL / browsers, but services that validate the magic
bytes (AWS Textract, Azure Document Intelligence) will reject them
without a transcode step. Re-encoding to true PNG with dimensions
preserved is a lossless one-liner.

## License

Annotations: CC-BY-4.0. Page images carry their original per-source
licenses; the manifest's `sourceUrl` column points back to each one.