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--- |
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annotations_creators: |
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- expert-generated |
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language: [] |
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language_creators: [] |
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license: |
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- cc-by-nc-4.0 |
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multilinguality: [] |
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pretty_name: 'TD01: Natural Ground Texture Photos' |
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size_categories: |
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- n<1K |
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source_datasets: |
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- original |
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tags: |
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- texture-synthesis |
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- photography |
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- non-infringing |
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task_categories: |
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- unconditional-image-generation |
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task_ids: [] |
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viewer: false |
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--- |
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_The Dataset Teaser is now enabled instead! Isn't this better?_ |
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# TD 01: Natural Ground Textures |
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This dataset contains multi-photo texture captures in outdoor nature scenes — all focusing on the ground. Each set has different photos that showcase texture variety, making them ideal for training a domain-specific image generator! |
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Overall information about this dataset: |
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* **Format** — JPEG-XL, lossless RGB |
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* **Resolution** — 4032 × 2268 |
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* **Device** — mobile camera |
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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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* **Description**: |
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- surface rocks with gravel and coarse sand |
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- strong sunlight from the left, sharp shadows |
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* **Number of Photos**: |
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- 7 train |
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- 2 test |
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* **Edits**: |
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- rotated photos to align sunlight |
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- removed infrequent objects |
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* **Size**: 77.8 Mb |
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## Set #2: Dry Grass with Pine Needles |
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* **Description**: |
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- field of dry grass and pine needles |
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- sunlight from the top right, some shadows |
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* **Number of Photos**: |
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- 6 train |
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- 1 test |
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* **Edits**: |
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- removed dry leaves and large plants |
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- removed sticks, rocks and sporadic daisies |
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* **Size**: 95.2 Mb |
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## Set #3: Chipped Stones, Broken Leaves and Twiglets |
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* **Description**: |
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- autumn path with chipped stones and dry broken leaves |
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- diffuse light on a cloudy day, very soft shadows |
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* **Number of Photos**: |
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- 9 train |
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- 3 test |
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* **Edits**: |
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- removed anything that looks green, fresh leaves |
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- removed long sticks and large/odd stones |
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* **Size**: 126.9 Mb |
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## Set #4: Grass Clumps and Cracked Dirt |
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* **Description**: |
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- clumps of green grass, clover and patches of cracked dirt |
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- diffuse light on cloudy day, shadows under large blades of grass |
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* **Number of Photos**: |
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- 9 train |
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- 2 test |
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* **Edits**: |
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- removed dry leaves, sporadic dandelions, and large objects |
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- histogram matching for two of the photos so the colors look similar |
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* **Size**: 126.8 Mb |
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## Set #5: Dirt, Stones, Rock, Twigs... |
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* **Description**: |
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- intricate micro-scene with grey dirt, surface rock, stones, twigs and organic debris |
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- diffuse light on cloudy day, soft shadows around the larger objects |
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* **Number of Photos**: |
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- 9 train |
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- 3 test |
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* **Edits**: |
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- removed odd objects that felt out-of-distribution |
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* **Size**: 102.1 Mb |
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## Set #6: Plants with Flowers on Dry Leaves |
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* **Description**: |
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- leafy plants with white flowers on a bed of dry brown leaves |
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- soft diffuse light, shaded areas under the plants |
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* **Number of Photos**: |
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- 9 train |
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- 2 test |
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* **Edits**: |
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- none yet, inpainting doesn't work well enough |
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- would remove long sticks and pieces of wood |
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* **Size**: 105.1 Mb |
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