| --- |
| license: other |
| license_name: la-trobe-university-use-terms |
| license_link: https://huggingface.co/datasets/rick77a/PhenoLeaf_TS/blob/main/LICENSE.md |
| pretty_name: PhenoLeaf-TS |
| tags: |
| - plant-phenotyping |
| - arabidopsis-thaliana |
| - leaf-segmentation |
| - leaf-tracking |
| - rgb-images |
| --- |
| |
| # PhenoLeaf-TS |
|
|
| **PhenoLeaf-TS** is a time-series RGB image dataset associated with the dataset paper accepted at the **European Conference for Computer Vision (ECCV) 2026**. The dataset supports leaf instance segmentation, leaf tracking, and growth stage classification of *Arabidopsis thaliana*. |
|
|
| ## Download |
|
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| [Download PhenoLeaf-TS.zip](https://huggingface.co/datasets/rick77a/PhenoLeaf_TS/resolve/main/PhenoLeaf-TS_DS.zip) |
|
|
| ## Project |
|
|
| [PhenoLeaf-TS Project Website](https://pisyntor.github.io/PhenoLeaf-TS) |
|
|
| ## Code |
|
|
| The source code and additional documentation are available in the following repository: |
|
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| [PhenoLeaf-TS GitHub Repository](https://github.com/pisyntor/PhenoLeaf-TS) |
|
|
| ## Licence and Citation |
|
|
| © 2026 La Trobe University. All rights reserved. |
|
|
| This dataset is provided solely for non-commercial academic research and/or teaching purposes. It may be used and reproduced in non-commercial academic and research publications with mandatory citation. The dataset files must not be redistributed, republished, or publicly hosted, either in whole or in part, without prior written permission. |
|
|
|
|
| If you use this dataset, please cite the following paper published at the **European Conference on Computer Vision (ECCV) 2026**: |
|
|
| ```bibtex |
| @inproceedings{saric2026phenoleafts, |
| title = {PhenoLeaf-TS: A Time-Series Benchmark for Leaf Instance |
| Segmentation, Tracking, and Growth Stage Classification}, |
| author = {Sari{\'c}, Rijad and Azam, Basim and Khan, Sarmad and |
| {\v{C}}ustovi{\'c}, Edhem}, |
| booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)}, |
| year = {2026} |
| } |