A 1,500-page document-layout benchmark for evaluating layout-detection
models on real-world documents. COCO-style annotations across 9 block
classes.
images/ — 1,500 page images (PNG / JPG / occasional WebP-as-PNG; see Caveats).
annotations/
.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… See the full description on the dataset page: https://huggingface.co/datasets/Extend-AI/RealDoc-Bench-Layout.
