Dataset Card for AmbientCG Textures and HDRIs

Dataset Summary

This dataset contains 14,202 high-quality texture images and HDRI environments from ambientcg.com. It includes a comprehensive collection of materials such as fabric, metal, wood, stone, concrete, nature elements, and HDRI skyboxes for 3D rendering and computer graphics applications. The original archives were downloaded, unpacked, and images were compressed using PNG optimization and JPEG quality compression (90%) to reduce file size while maintaining excellent visual quality.

Languages

The dataset is monolingual:

• English (en): Texture titles, descriptions, and tags are in English.

Dataset Structure

Data Fields

Each texture/HDRI in the dataset is accompanied by a JSON metadata file containing the following fields:

Individual asset metadata (in .tar files):

• tags: Array of strings representing material types, colors, environmental conditions, and descriptive terms associated with the asset
• technique: String describing the creation method (e.g., "Stitched HDR Panorama", "Photogrammetry", "Procedural")

Complete metadata (in metadata.jsonl.zst):

• id: String containing the unique identifier for the asset
• title: String containing the full title of the texture or HDRI
• tags: Array of strings representing material types, colors, environmental conditions, and descriptive terms associated with the asset
• technique: String describing the creation method with additional details (e.g., "Stitched HDR Panorama (horizon clearing)")
• download_url: String containing the original download URL from ambientcg.com

Data Splits

The dataset contains a single split:

Split	Number of Examples
train	14,202

Total dataset size: 14,202 entries

Data Format

• Images are stored in compressed format at high resolution
• Dataset is distributed across multiple tar files with approximately 2,000 images each
• Each asset has two files: image and metadata file (e.g., DaySkyHDRI059B.jpg and DaySkyHDRI059B.json)
• Individual JSON files contain tags, technique information, and additional metadata for the corresponding image
• metadata.jsonl.zst contains complete metadata with additional information including download URLs for all assets

License Information

Licensing Structure

All images in this dataset are distributed under the Creative Commons Zero (CC0) license, which effectively places them in the public domain. This means:

• No attribution is required for use
• Images can be used for both personal and commercial purposes
• Images can be modified and redistributed without restrictions
• No royalties or payments are required for any use

CC0 License Details

The Creative Commons Zero (CC0) license waives all copyright and related rights to the work worldwide. Users can copy, modify, distribute, and perform the work, even for commercial purposes, without asking permission.

For detailed information about the CC0 license, please refer to: https://creativecommons.org/publicdomain/zero/1.0/