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 assettechnique: 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 assettitle: String containing the full title of the texture or HDRItags: Array of strings representing material types, colors, environmental conditions, and descriptive terms associated with the assettechnique: 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.jpgandDaySkyHDRI059B.json) - Individual JSON files contain tags, technique information, and additional metadata for the corresponding image
metadata.jsonl.zstcontains 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/