Dataset Card for GrowSplat Dataset
The Growsplat Dataset contains data for two species (Quinoa and Sequoia) collected at the Netherlands Plant Eco-phenotyping Center(NPEC) using the Maxi-Marvin.
Dataset Details
Dataset Description
- Curated by: Data collection of Quinoa by Mieke van Vlaardingen and Robert van Loo, Data collection of Sequoia by the NPEC team led by Rick van Zedde.
- Funded by: Data collection of Quinoa was funded from the Dutch Top Sector programme through the project LWV21013 Novel diversity in emerging crops with gene editing by chemical mutagenesis and CRISPR and Radicle Crops. Data Collection of Sequoia was funded by NPEC funding sources.
- License: Creative Commons Attribution 4.0 (cc-by-4.0)
Dataset Sources
Uses
Direct Use
For plants per timestep, 15 images,masks and a pointcloud are provided which could be used for 3D modelling and then temporal (4D) alignment and registration.
Dataset Structure
There are two plants: Quinoa and Sequoia.
Each plant has been imaged at different dates.
Each Date folder contains images, masks, pointcloud, transforms.json and metadata.json, all in the Nerfstudio format
An example dataset structure is:
- Date
- transforms.json: pose transforms of images based on the MaxiMarvin calibration converted to Nerfstudio format.
- images/: raw images
- images_x/: images downscaled by a factor of x
- masks/: segmentation masks for every image following Nerfstudio convention for masks
- ExperimentId-TreatmentId-Time-pointcloud_converted.ply: Pointcloud of the plant
- metadata.json
Dataset Creation
Curation Rationale
High-throughput phenotyping of plants is an important tool in plant breeding. This dataset was made for the purpose of determining traits over time in a non-destructive manner.
Source Data
Data Collection and Processing
From Growsplat paper: "Maxi-Marvin consists of 15 static cameras arranged in three layers of five cameras each. The cameras are calibrated and maintain the same position while Maxi-Marvin is integrated into a conveyor belt system at NPEC thus allowing multiple plants to be quickly imaged...When a plant is moved into the Maxi-Marvin, each camera takes an image. These 15 images together with the calibrated poses for each camera is the input."
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Personal and Sensitive Information
No personal or sensitive information is included in this dataset.
Citation
If you use this dataset, please cite both:
BibTeX:
@misc{GrowSplatDatasets,
title = {NPEC GrowSplat {Sequoia and Quinoa} Plant Datasets},
author = { Mieke van Vlaardingen, Simeon Adebola, Shuangyu Xie, Chung Min Kim, Justin Kerr, Bart van Marrewijk, Tim van Daalen, Jose Luis Susa Rincon, Eugen Solowjow, Ken Goldberg, Rick van Zedde, and E.N. van Loo},
howpublished = {\url{https://huggingface.co/datasets/SimeonOA/GrowSplat-Dataset}},
}
@inproceedings{adebola2025growsplat,
author={Adebola, Simeon and Xie, Shuangyu and Kim, Chung Min and Kerr, Justin and van Marrewijk, Bart M. and van Vlaardingen, Mieke and van Daalen, Tim and van Loo, E.N. and Susa Rincon, Jose Luis and Solowjow, Eugen and van Zedde, Rick and Goldberg, Ken},
booktitle={2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)},
title={GrowSplat: Constructing Temporal Digital Twins of Plants with Gaussian Splats},
year={2025},
volume={},
number={},
pages={1766-1773},
keywords={Geometry;Image segmentation;Three-dimensional displays;Computer aided software engineering;Deformation;Pipelines;Digital twins;Iterative methods;Image reconstruction;Videos},
doi={10.1109/CASE58245.2025.11163998
}
Dataset Card Authors
Simeon Adebola, Mieke van Vlaardingen
Dataset Card Contact
Simeon Adebola: simeon.adebola@berkeley.edu, Mieke van Vlaardingen: mieke.vanvlaardingen@wur.nl
