README.md

---
license: cc-by-4.0
task_categories:
- image-to-3d
tags:
- robotics
- computer_vision
- gaussian_splatting
- plant_phenotyping
---

# Dataset Card for GrowSplat Dataset

<!-- Provide a quick summary of the 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](https://www.npec.nl/tool/3d-imaging-the-maxi-marvin/).

## Dataset Details

### Dataset Description

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- **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

<!-- - **Repository:** [More Information Needed] -->
- **Paper:** [GrowSplat: Constructing Temporal Digital Twins of Plants with Gaussian Splats](https://ieeexplore.ieee.org/document/11163998)
- **Arxiv(Workshop version of paper)**: [GrowSplat: Constructing Temporal Digital Twins of Plants with Gaussian Splats](https://arxiv.org/pdf/2505.10923)
<!-- - **Demo [optional]:** [More Information Needed] -->

## Uses

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### Direct Use

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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. 


<!-- ### Out-of-Scope Use

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## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

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](https://docs.nerf.studio/quickstart/data_conventions.html#dataset-format).
  - images/: raw images
  - images_x/: images downscaled by a factor of x
  - masks/: segmentation masks for every image following [Nerfstudio convention for masks](https://docs.nerf.studio/quickstart/data_conventions.html#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

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#### Data Collection and Processing

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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."

<!-- #### Who are the source data producers?

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<!-- ### Annotations [optional]

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<!-- #### Annotation process

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<!-- #### Who are the annotators? -->

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#### Personal and Sensitive Information

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No personal or sensitive information is included in this dataset.

<!-- ## Bias, Risks, and Limitations

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<!-- ### Recommendations

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## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
If you use this dataset, please cite both: 

**BibTeX:**
```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}},
}
```
```bibtex
@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
}
```
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**APA:**

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<!-- ## Glossary [optional]

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<!-- ## More Information [optional]

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## Dataset Card Authors

Simeon Adebola, Mieke van Vlaardingen

## Dataset Card Contact

Simeon Adebola: simeon.adebola@berkeley.edu, Mieke van Vlaardingen: mieke.vanvlaardingen@wur.nl