|
--- |
|
annotations_creators: |
|
- expert-generated |
|
language: [] |
|
language_creators: [] |
|
license: |
|
- cc-by-nc-4.0 |
|
multilinguality: [] |
|
pretty_name: 'TD02: Urban Floor Texture Photos' |
|
size_categories: |
|
- n<1K |
|
source_datasets: |
|
- original |
|
tags: |
|
- texture-synthesis |
|
- photography |
|
- non-infringing |
|
task_categories: |
|
- unconditional-image-generation |
|
task_ids: [] |
|
viewer: false |
|
--- |
|
|
|
|
|
_The Dataset Teaser is now enabled instead! Isn't this better?_ |
|
|
|
 |
|
|
|
|
|
# TD 02: Urban Surface Textures |
|
|
|
This dataset contains multi-photo texture captures in outdoor nature scenes — many focusing on the ground and the others are walls. Each set has different photos that showcase texture variety, making them ideal for training a domain-specific image generator! |
|
|
|
Overall information about this dataset: |
|
|
|
* **Format** — JPEG-XL, lossless RGB |
|
* **Resolution** — 4032 × 2268 |
|
* **Device** — mobile camera |
|
* **Technique** — hand-held |
|
* **Orientation** — landscape |
|
* **Author**: Alex J. Champandard |
|
* **Configurations**: 4K, 2K (default), 1K |
|
|
|
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`: |
|
|
|
```python |
|
# Recommended use, JXL at high-quality. |
|
from jxlpy import JXLImagePlugin |
|
from datasets import load_dataset |
|
d = load_dataset('texturedesign/td02_urban-surface-textures', 'JXL@4K') |
|
|
|
print(len(d['train']), len(d['test'])) |
|
``` |
|
|
|
The lowest-resolution images are available as PNG with a regular installation of `pillow`: |
|
|
|
```python |
|
# Alternative use, PNG at low-quality. |
|
from datasets import load_dataset |
|
d = load_dataset('texturedesign/td02_urban-surface-textures', 'PNG@1K') |
|
|
|
# EXAMPLE: Discard all other sets except Set #1. |
|
dataset = dataset.filter(lambda s: s['set'] == 1) |
|
# EXAMPLE: Only keep images with index 0 and 2. |
|
dataset = dataset.select([0, 2]) |
|
``` |
|
|
|
Use built-in dataset `filter()` and `select()` to narrow down the loaded dataset for training, or to ease with development. |
|
|
|
|
|
## Set #1: Interlocked Paving with Mulch |
|
|
|
 |
|
|
|
* **Description**: |
|
- grey H-shaped tiles interlocked together as the base |
|
- brown mulch made of woodchips on top |
|
- diffuse lighting, cloudy day |
|
* **Number of Photos**: |
|
- 18 train |
|
- 5 test |
|
* **Size**: 222 Mb |
|
|
|
|
|
## Set #2: Outdoor Parking Area |
|
|
|
 |
|
|
|
* **Description**: |
|
- diamond shape concrete floor tiles |
|
- grass growing in the middle part |
|
- sunny day, shadows and sunlight |
|
* **Number of Photos**: |
|
- 19 train |
|
- 6 test |
|
* **Size**: 270 Mb |
|
|
|
|
|
## Set #3: Red Brick Wall Cliché |
|
|
|
 |
|
|
|
* **Description**: |
|
- red brick wall with dark grey mortar |
|
- signs of weathering and black splashes |
|
- cloudy day, diffuse lighting |
|
* **Number of Photos**: |
|
- 10 train |
|
- 4 test |
|
* **Size**: 100 Mb |
|
|
|
|
|
## Set #4: Not Asphalt, Sparkling Bitumen |
|
|
|
 |
|
|
|
* **Description**: |
|
- asphalt with sparkeling gravel sticking out |
|
- sunny day, strong light from right |
|
* **Number of Photos**: |
|
- 5 train |
|
- 2 test |
|
* **Size**: 65 Mb |
|
|
|
|
|
## Set #5: Under The Dallage? Oui. |
|
|
|
 |
|
|
|
* **Description**: |
|
- grey floor tiles of different square and rectangular shape |
|
- cloudy day, diffuse lighting |
|
* **Number of Photos**: |
|
- 11 train |
|
- 4 test |
|
* **Size**: 103 Mb |
|
|
|
|
|
## Set #6: Cracked Road and Scattered Gravel |
|
|
|
 |
|
|
|
* **Description**: |
|
- asphalt road with cracks at varying scales |
|
- occasionally gravel scattered around |
|
- sunny day, varied lighting and soft shadows |
|
* **Number of Photos**: |
|
- 27 train |
|
- 7 test |
|
* **Size**: 281 Mb |
|
|
|
|
|
## Set #7: Funky Grey/Red Brick Wall |
|
|
|
 |
|
|
|
* **Description**: |
|
- red brick wall with grey mortar |
|
- cool weathering patterns on the bricks, cement marks |
|
- diffuse light from above |
|
* **Number of Photos**: |
|
- 6 train |
|
- 2 test |
|
* **Size**: 52 Mb |
|
|
|
|
|
## Set #8: Corrugated Metal Wall |
|
|
|
 |
|
|
|
* **Description**: |
|
- corrugated metal wall used on a construction site |
|
- no significant effects from lighting |
|
* **Number of Photos**: |
|
- 6 train |
|
- 2 test |
|
* **Size**: 37 Mb |
|
|
|
|
|
## Set #9: Colorful Aligned Paving Stones |
|
|
|
 |
|
|
|
* **Description**: |
|
- square or rectangular pavement stones with rounded corners |
|
- variety of different colors, dark gaps between |
|
- neutral lighting in the shade |
|
* **Number of Photos**: |
|
- 5 train |
|
- 1 test |
|
* **Size**: 46 Mb |
|
|
|
|
|
## Set #10: Fancy Footpath Concrete |
|
|
|
 |
|
|
|
* **Description**: |
|
- fancy-looking concrete path in the park |
|
- long straight gaps between the tiles |
|
- strong sunlight from the left side |
|
* **Number of Photos**: |
|
- 11 train |
|
- 4 test |
|
* **Size**: 137 Mb |
|
|
|
|
|
## Set #11: Asphalt Slowly Turning Green |
|
|
|
 |
|
|
|
* **Description**: |
|
- dirty asphalt with darker patches |
|
- cloudy day, diffuse lighting |
|
* **Number of Photos**: |
|
- 9 train |
|
- 2 test |
|
* **Size**: 95 Mb |
|
|