nemotron-page-elements-v3
by nvidia
Lightweight document layout detector for tables, charts, and text regions
nvidia/nemotron-page-elements-v3mixpeek://document_extractor@v1/nvidia_nemotron_page_elements_v3Overview
Nemotron Page Elements v3 is NVIDIA's compact 54M parameter document layout detection model built on the YOLOX architecture. It identifies six categories of document elements -- tables, charts, infographics, titles, text blocks, and headers/footers -- on 1024x1024 input images. Purpose-built for enterprise document RAG pipelines where layout detection is a preprocessing step before OCR or structured extraction.
Architecture
YOLOX anchor-free object detector with a DarkNet53 backbone and Feature Pyramid Network (FPN). Processes document page images at 1024x1024 resolution and outputs bounding boxes with class labels for six element types. The anchor-free design simplifies deployment and improves detection of elements with unusual aspect ratios (wide tables, tall infographics).
Mixpeek SDK Integration
// No extractor parameter takes a Hugging Face model id (checked against
// GET /v1/discovery/extractors, which returns 13), so nemotron-page-elements-v3 runs
// on your side and the output is upserted through POST
// /v1/namespaces/{namespace_id}/documents/upsert. On Enterprise the other
// path is to upload the weights instead: POST /v1/namespaces/{id}/models
// accepts the huggingface format and a custom plugin loads them.
const res = await fetch(
"https://api.mixpeek.com/v1/namespaces/ns_your_namespace/documents/upsert",
{
method: "POST",
headers: {
Authorization: "Bearer API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({
collection_id: "col_your_collection",
documents: [
{
document_id: "asset-00412",
// Boxes, masks, depth maps and anomaly scores are structured
// results, not vectors. They go in payload and are reachable
// through pre_filters on a retriever, not through similarity.
payload: {
detections: modelOutput,
source_key: "archive/2026/asset-00412",
},
},
],
}),
},
);
// No managed alternative for an open label set. Two extractors do emit a
// bbox, for the one thing each detects: document_graph_extractor@v1 per
// layout block, face_identity_extractor@v1 per face. Nothing ships that
// returns masks, depth maps or anomaly scores.Capabilities
- Table region detection
- Chart and infographic localization
- Title and header identification
- Text block segmentation
- Page layout analysis
Use Cases on Mixpeek
Benchmarks
| Dataset | Metric | Score | Source |
|---|---|---|---|
| DocLayNet | [email protected] | 78.4 | Model card |
| PubLayNet | [email protected] | 94.1 | Model card |
| Internal (6-class) | [email protected] | 91.7 | Model card |
Performance
Common Pipeline Companions
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Specification
Research Paper
Model paper or technical report
arxiv.orgBuild a pipeline with nemotron-page-elements-v3
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