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End of preview. Expand in Data Studio
PRIMA-LAD (private mirror)
Private mirror of the PRIMA-LAD layout-analysis dataset used for DocLayout-YOLO downstream training experiments.
Contents
| split | files |
|---|---|
images/ |
478 pages, each a .tif (~22 MB) + a matching .npy |
labels/ |
478 YOLO-format .txt label files (11 layout classes) |
- Total: 1,436 files, ~21.6 GB.
- YOLO detection format: one label per image,
class cx cy w hnormalized coordinates. - 11-class layout vocabulary (document layout analysis).
Exclusions
labels.cache(Ultralytics label cache) is intentionally excluded..ipynb_checkpoints/directories excluded.
Provenance
- Source: PRIMA-LAD layout analysis dataset (ICDAR).
- Used as one of four downstream benchmarks (D4LA / M6Doc / HJDataset / PRIMA-LAD) in the DocLayout-YOLO release training-pipeline verification (2026-09).
- Uploaded as-is from the verified dataset copy; no source files were modified.
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