nvidia/cdf-pcb-usd-dataset

Dataset Overview

Dataset Description:

The ICT and Artix PCBA USD Asset dataset contains board-specific OpenUSD packages for the ICT and Artix printed circuit board assemblies. The packages include assembled board geometry, component assets, and materials authored directly in OpenUSD. The USD assets are derived from the respective board CAD designs.

Both packages were generated from KiCad PCB sources and subsequently underwent manual mesh curation for AOI use. This included separating selected component-pin geometry from component bodies and removing board-logo geometry. Values unavailable from the source designs or component datasheets—including stencil, silkscreen, and plating thicknesses—are identified as derived values in each package’s provenance.json.

This dataset is ready for commercial or non-commercial uses.

Dataset Owner(s):

NVIDIA Corporation

NVIDIA Corporation owns the dataset packaging and derived OpenUSD assets. The source PCB designs are provided by Antmicro under the Apache License 2.0.

Dataset Creation Date:

September 28, 2026

Versioning:

1.0.0

Previous Version(s):

None

License/Terms of Use:

Use of the PCB USD dataset is governed by CC BY-4.0. The upstream PCB designs are licensed under Apache License 2.0. Each package includes the applicable upstream license and attribution notice.

Intended Usage:

Intended for demonstrating and evaluating the pcb-aoi synthetic-data workflow using two representative PCB assemblies. Users may render the ICT and Artix USD assets, introduce supported structural defects, and generate images and annotations for AOI development and evaluation. The assets are not intended to represent production inspection accuracy unless separately validated.

Dataset Characterization

Data Collection Method

• [Synthetic] - The OpenUSD assets were generated from KiCad CAD sources and subsequently curated through manual mesh post-processing. Modifications included separating component pins from component-body meshes and removing board logos and their associated geometry. These changes improve scene structure and suitability for AOI synthetic-data workflows.

Labeling Method

• [Hybrid: Manually-Labeled, Synthetic] - Component and semantic metadata is derived from the KiCad source data during conversion and supplemented by manually authored or reviewed prototype properties. Labels are stored as metadata on USD prims. No rendered images or separate image-label dataset are included.

Dataset Format

The dataset is distributed as two self-contained ZIP packages, one for each PCBA:

• Artix DC-SCM
• ICT Baseboard

Each package contains:

• OpenUSD ASCII (.usda) files:
  • One root board stage
  • Board-geometry layers for substrate, copper, solder mask, pads, solder paste, silkscreen, holes, test points, and component placements
  • Instanceable component-package prototype assets
• JSON (.json) files containing package manifests and provenance metadata
• Markdown (.md) documentation
• Upstream license and attribution notices

Component identity, placement, physical properties, and provenance annotations are stored as metadata on USD prims.

The packages do not contain MDL files, external texture images, rendered images, or separate annotation files. Materials and display properties are authored directly in OpenUSD.

Dataset Quantification

The dataset contains two PCBA asset packages:

• Artix DC-SCM
  • Board dimensions: 90 × 120.405 × 1.6 mm
  • 1 root OpenUSD stage
  • 9 board-geometry USD layers
  • 47 package-prototype USD files
  • 499 placed component instances
  • 12 identified test-point prims
  • Uncompressed package size: approximately 512.5 MB
  • ZIP distribution size: approximately 49.8 MB
• ICT Baseboard
  • Board dimensions: 150 × 50 × 1.59 mm
  • 1 root OpenUSD stage
  • 9 board-geometry USD layers
  • 32 package-prototype USD files
  • 203 placed component instances
  • 12 labeled test points
  • Uncompressed package size: approximately 321.0 MB
  • ZIP distribution size: approximately 30.9 MB

Combined totals

• 2 PCBA board assets
• 2 root OpenUSD stages
• 18 board-geometry USD layers
• 79 package-prototype files representing 70 distinct prototype names; 9 prototypes are shared between the board packages
• 702 placed component instances
• 24 labeled test points
• 99 OpenUSD ASCII (.usda) files
• 111 uncompressed files, including USD assets, manifests, provenance records, notices, licenses, and README files
• Approximately 833.5 MB uncompressed
• Approximately 80.7 MB as two ZIP distributions

Component metadata provides up to 25 identity, placement, package, appearance, and provenance fields. These include reference designator, component type, package and footprint identifiers, manufacturer, manufacturer part number, nominal value, board side, nominal position and rotation, process class, pin count, material class, and provenance availability fields.

Additional information:

• Component types:
  • 305 capacitors
  • 253 resistors
  • 47 ICs
  • 32 diodes
  • 20 connectors
  • 16 inductors
  • 15 transistors
  • 3 crystals
  • 2 switches
  • 9 “other”
• Board side: 436 top-side and 266 bottom-side placements.
• Assembly process: 679 SMT, 14 through-hole, and 9 mixed-process placements.

Reference(s):

Artix-dc-scm: https://github.com/antmicro/artix-dc-scm

• Specific commit/version: https://github.com/antmicro/artix-dc-scm/commit/b9856f78179fce0739a4955dd4ed5f912619efe6

ICT-Baseboard: https://github.com/antmicro/ict-baseboard

• Specific commit/version: https://github.com/antmicro/ict-baseboard/commit/181d6ed7d2d9dfb358dd2b64046e3debdf4ee9ac

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.