pretty_name: TextureCan Textures
size_categories:
- 1K<n<10K
task_categories:
- image-classification
- image-to-text
- text-to-image
- image-to-image
annotations_creators:
- found
language:
- en
multilinguality:
- monolingual
source_datasets:
- original
configs:
- config_name: default
data_files:
- split: train
path: metadata.jsonl.zst
default: true
tags:
- image
license: cc0-1.0
Dataset Card for TextureCan Textures
Dataset Summary
This dataset contains 4,037 texture images from texturecan.com. It includes textures of various materials such as brick, paper, fabric, metal, wood, stone, and other surfaces. The original archives were downloaded, unpacked, and images were compressed using PNG optimization and JPEG quality compression (90%) to reduce file size while maintaining good quality.
Languages
The dataset is monolingual:
- English (en): Texture titles, descriptions, and tags are in English.
Dataset Structure
Data Fields
Each texture in the dataset is accompanied by a JSON metadata file containing the following fields:
id
: String containing the unique identifier (UUID) for the texturetitle
: String containing the full title of the texturedescription
: String providing detailed description of the texture's appearance and suggested use casestags
: Array of strings representing material types, colors, descriptive terms, and technical specifications associated with the texturetexture_set
: String indicating which original texture collection the image belongs tooriginal_name
: String preserving the original filename from the source
Data Splits
The dataset contains a single split:
Split | Number of Examples |
---|---|
train |
4,037 |
Total dataset size: 4,037 entries
Data Format
- Images are stored in compressed format at high resolution
- Dataset is distributed across 3 tar files with approximately 1,346 images each
- Each texture has two files: image and metadata file (e.g.,
a1b2c3d4-e5f6-7890-abcd-ef1234567890.jpg
anda1b2c3d4-e5f6-7890-abcd-ef1234567890.json
) - Individual JSON files contain title, description, tags, and additional metadata for the corresponding image
metadata.jsonl.zst
contains complete metadata with additional information including download URLs for all textures
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/