Kreuzberg/layout-models

Kreuzberg Layout Models

ONNX models used by Kreuzberg for document layout detection and table structure recognition.

Models

RT-DETR (Document Layout Detection)

Property	Value
Path	rtdetr/model.onnx
Size	169 MB
Precision	FP32
Architecture	RT-DETR v2 (Real-Time Detection Transformer)
Input	images: [batch, 3, 640, 640] f32 (ImageNet-normalized, letterboxed)
Input	orig_target_sizes: [batch, 2] i64 (original [height, width])
Outputs	labels i64, boxes f32 [batch, N, 4], scores f32
Classes	17 document layout classes
SHA256	3bf2fb0ee6df87435b7ae47f0f3930ec3dc97ec56fd824acc6d57bc7a6b89ef2

Layout Classes: Caption, Footnote, Formula, ListItem, PageFooter, PageHeader, Picture, SectionHeader, Table, Text, Title, DocumentIndex, Code, CheckboxSelected, CheckboxUnselected, Form, KeyValueRegion

SLANet-plus (Table Structure Recognition)

Property	Value
Path	slanet-plus/model.onnx
Size	7.8 MB
Precision	FP32
Architecture	SLANet-plus (Sequence-to-Sequence table decoder)
Input	x: [1, 3, 488, 488] f32 (BGR channel order, ImageNet-normalized)
Outputs	[1, seq_len, 8] cell bbox corners, [1, seq_len, 50] HTML token probabilities
Vocabulary	50 tokens (HTML structure tags, rowspan/colspan 1-20, sos/eos)
SHA256	e0bff8da087f9b83629f1e1a6e0f8252fc2de85a7d80415b3510fc521338da3d

Attribution & Provenance

RT-DETR

This model is mirrored from docling-project/docling-layout-heron-onnx, created by the Docling team at IBM Research.

• Original repository: docling-project/docling-layout-heron-onnx
• License: Apache-2.0
• Architecture paper: Zhao et al., "DETRs Beat YOLOs on Real-time Object Detection" (arXiv:2304.08069)
• Training data: DocLayNet and internal IBM document datasets

SLANet-plus

This model was converted from PaddlePaddle format to ONNX using Paddle2ONNX. The original model is from the PaddleOCR project by PaddlePaddle.

• Original repository: PaddlePaddle/SLANet_plus
• License: Apache-2.0
• Architecture paper: "PP-StructureV2: A Stronger Document Analysis System" (arXiv:2210.05391)
• Conversion: PaddlePaddle inference format → ONNX via Paddle2ONNX (opset 17)

Usage

These models are automatically downloaded and cached by the Kreuzberg document extraction library. See the layout extraction documentation for details.

License

All models in this repository are distributed under the Apache-2.0 License, consistent with the licenses of the original models.