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README.md
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viewer: false
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![preview of all texture sets](https://huggingface.co/datasets/texturedesign/td01_natural-ground-textures/resolve/main/docs/teaser.webp)
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* **Technique** — hand-held
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* **Orientation** — portrait or landscape
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* **Author**: Alex J. Champandard
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## Set #1: Rock and Gravel
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_The Dataset Teaser is now enabled instead! Isn't this better?_
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![preview of all texture sets](https://huggingface.co/datasets/texturedesign/td01_natural-ground-textures/resolve/main/docs/teaser.webp)
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* **Technique** — hand-held
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* **Orientation** — portrait or landscape
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* **Author**: Alex J. Champandard
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* **Configurations**: 4K, 2K (default), 1K
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To load the medium- and high-resolution images of the dataset, you'll need to install `jxlpy` from [PyPI](https://pypi.org/project/jxlpy/) with `pip install jxlpy`:
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```python
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# Recommended use, JXL at high-quality.
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from jxlpy import JXLImagePlugin
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from datasets import load_dataset
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d = load_dataset('texturedesign/td01_natural-ground-textures', 'JXL@4K')
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print(len(d['train']), len(d['test']))
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```
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The lowest-resolution images are available as PNG with a regular installation of `pillow`:
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```python
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# Alternative use, PNG at low-quality.
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from datasets import load_dataset
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d = load_dataset('texturedesign/td01_natural-ground-textures', 'PNG@1K')
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# EXAMPLE: Discard all other sets except Set #1.
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dataset = dataset.filter(lambda s: s['set'] == 1)
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# EXAMPLE: Only keep images with index 0 and 2.
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dataset = dataset.select([0, 2])
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```
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Use built-in dataset `filter()` and `select()` to narrow down the loaded dataset for training, or to ease with development.
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## Set #1: Rock and Gravel
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