CGAxis/cgaxis-pbr-materials-sample

CGAxis PBR Materials - Free Sample (Brick, Stone & Concrete)

A free, licensed sample of human-authored PBR material sets from CGAxis, a 3D content studio operating since 2008. This sample is a taster of the full CGAxis AI Data corpus (7,794 PBR material sets + 4,390 3D models) available for commercial AI-training licenses.

Every material ships as a complete, consistently named set of maps with explicit color space, bit depth and real-world scale, plus per-set metadata.json with per-file SHA-256 and a dataset-level MLCommons Croissant file for direct loading into ML pipelines.

Why this dataset is different

Most 3D/PBR training data is a flat pile of texture images scraped or dumped under contested or CC0 terms, with no consistent structure. This one is not:

• Coherent SVBRDF training pairs, not loose images. Every set ships the same map types, so it is ready ground truth for material estimation and generation - not a bag of unlabelled textures.
• Both workflows, both normal conventions. Metallic-roughness and specular-glossiness, OpenGL and DirectX normals, for every set. A superset of what typical PBR sets provide.
• 16-bit displacement + real-world scale. 16-bit TIFF height and a real-world tile size (2 x 2 m) for every set - most texture dumps carry neither.
• Single owner, clean provenance. Human-authored in-house by CGAxis since 2008. No scraping, no unknown rights.
• AI-native. Per-set metadata.json with per-file SHA-256, bit depth and channels, plus a dataset-level croissant.json and a deterministic train/test split.

This sample

Property	Value
Material sets	100 (brick, stone, concrete, cobblestone and pavement surfaces)
Resolution	2048 x 2048 (2K)
Maps	base color, normal (GL + DX), roughness, glossiness, metallic, specular, AO, IOR, reflection, height
Height / displacement	16-bit TIFF (98 / 100; 2 as PNG)
Workflows	metallic-roughness and specular-glossiness (both provided)
Real-world tile size	200 x 200 cm, all sets
Base color format	PNG (lossless), 100 / 100
Per-file SHA-256	100 / 100
Caption + attributes	100 / 100
Split	95 train / 5 test (deterministic, seed cgaxis-3d-v1)

Intended uses

Training and evaluating material- and geometry-aware models: text-to-material, SVBRDF estimation, PBR / texture synthesis, displacement-aware and seamless-texture models, and the material component of text-to-3D pipelines.

Load the metadata (Croissant)

import mlcroissant as mlc
ds = mlc.Dataset("croissant.json")
records = list(ds.records(record_set="materials"))

Or read materials_index.json directly (full per-set records, including maps, colorspace, bit depth, real-world size, tags, caption and the split field).

Structure

/                                  # one folder per material set
  <set_name>/
    <set_name>_basecolor_diffuse.png
    <set_name>_normal.png / _normal_opengl.png   # DirectX + OpenGL
    <set_name>_roughness.png / _glossiness.png
    <set_name>_metallic.png / _specular.png
    <set_name>_ao.png / _ior.png / _reflection.png
    <set_name>_height.tif        # 16-bit
    <set_name>_1.jpg             # preview render
    metadata.json                # per-set, with per-file sha256 + bit depth
materials_index.json / materials_index.csv   # all sets (JSON has the split field; CSV backs Croissant)
croissant.json                   # MLCommons Croissant 1.0 (loadable)
splits.json + train.txt / test.txt           # deterministic train/test split
previews/ + contact_sheet.png    # per-set preview thumbnails + montage
DATASET_CARD.md                  # plain-text summary
LICENSE.txt                      # this sample's license (evaluation only)

Compliance (EU AI Act)

Every set carries a machine-readable compliance block (vendor assertions): human_authored=true, ai_generated=false, contains_pii=false, contains_trademarks_or_logos=false, web_scraped=false, plus a training_data_summary - so training-data documentation is trivial. CGAxis is an EU company.

License

Free for internal evaluation and prototyping under the CGAxis AI Data Free Sample License (see LICENSE.txt). This sample is for assessing quality, format and metadata, and building internal proofs of concept - not for training models you ship or sell, and it comes without warranty or indemnification.

License the full corpus (7,794 PBR sets + 4,390 3D models)

Production training - with an IP warranty and full indemnification - is licensed per Category Pack, Full Corpus or Exclusive tier.

• PBR materials: 2K / 4K / 8K, metallic-roughness and specular-glossiness, GL + DX normals, 16-bit displacement, real-world tile size.
• 3D models: GLB + USDZ, real-world scale in cm, clean UVs, Croissant + per-file SHA-256.
• EU AI Act training-data summary, deterministic train/test splits.

Request a quote or a larger sample: cgaxis.com/ai-training-data

Citation

@misc{cgaxis_ai_data_pbr_2026,
  title  = {CGAxis AI Data: Licensed PBR Materials and 3D Models for AI Training},
  author = {CGAxis (DTS S.C.)},
  year   = {2026},
  url    = {https://cgaxis.com/ai-training-data/}
}