WE3DS-small: A 576-Image Subset of WE3DS - https://zenodo.org/records/7457983

This is a curated subset of synthgen/WE3DS. All credit goes to the original authors.

Overview

A lightweight 576-image subset of the WE3DS dataset, designed for quick prototyping, demos, and experimentation without downloading the full 2,568-image dataset. Contains the same data fields and format as the full dataset.

Original Authors

Florian Kitzler, Norbert Barta, Reinhard W. Neugschwandtner, Andreas Gronauer, Viktoria Motsch

University of Natural Resources and Life Sciences, Vienna (BOKU)

• Full dataset: synthgen/WE3DS
• Original source: Zenodo (DOI: 10.5281/zenodo.7457983)
• Paper: Sensors 2023, 23(5), 2713
• License: CC-BY-4.0

Semantic Classes (19)

ID	Class	Type
0	void	background
1	soil	background
2	broad bean	crop
3	corn spurry	weed
4	red-root amaranth	weed
5	common buckwheat	crop
6	pea	crop
7	red fingergrass	weed
8	common wild oat	weed
9	cornflower	weed
10	corn cockle	weed
11	corn	crop
12	milk thistle	weed
13	rye brome	weed
14	soybean	crop
15	sunflower	crop
16	narrow-leaved plantain	weed
17	small-flower geranium	weed
18	sugar beet	crop

Dataset Structure

Data Fields

• image: RGB image (PNG, 1600×1144)
• annotation: Segmentation mask (PNG, 1600×1144, pixel values = class IDs 0–18)
• date: Capture date (DD.MM.YYYY)
• time: Local capture time (HH:MM:SS)
• latitude: GPS latitude (WGS84)
• longitude: GPS longitude (WGS84)
• weather: Categorical — sunny, cloudy, or mixed
• wind: Categorical — light, medium, or strong
• seeding_date: Planting date (DD.MM.YYYY)
• height_mm: Estimated plant height in millimeters

Data Splits

Split	Images
Train	344 (60%)
Test	232 (40%)

Usage

from datasets import load_dataset

dataset = load_dataset("synthgen/WE3DS-small")

# Access a training example
example = dataset["train"][0]
image = example["image"]           # PIL Image (RGB)
mask = example["annotation"]       # PIL Image (segmentation mask)

For the full dataset (2,568 images), use:

dataset = load_dataset("synthgen/WE3DS")

Citation

If you use this dataset, please cite the original authors:

@article{Kitzler2023WE3DS,
  author    = {Kitzler, Florian and Barta, Norbert and Neugschwandtner, Reinhard W. and Gronauer, Andreas and Motsch, Viktoria},
  title     = {WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture},
  journal   = {Sensors},
  year      = {2023},
  volume    = {23},
  number    = {5},
  pages     = {2713},
  doi       = {10.3390/s23052713}
}

@dataset{Kitzler2023WE3DSdata,
  author    = {Kitzler, Florian and Barta, Norbert and Neugschwandtner, Reinhard W. and Gronauer, Andreas and Motsch, Viktoria},
  title     = {WE3DS: An RGB-D image dataset for semantic segmentation in agriculture},
  year      = {2023},
  publisher = {Zenodo},
  version   = {v1},
  doi       = {10.5281/zenodo.7457983},
  url       = {https://doi.org/10.5281/zenodo.7457983}
}

Acknowledgments

The original dataset was created as part of the "DiLaAg – Digitalization and Innovation Laboratory in Agricultural Sciences" project, funded by the Government of Lower Austria and the private foundation Forum Morgen.