| --- |
| dataset_info: |
| config_name: raw |
| features: |
| - name: plant_id |
| dtype: string |
| - name: points |
| dtype: |
| array2_d: |
| shape: |
| - -1 |
| - 3 |
| dtype: float32 |
| - name: mask |
| dtype: |
| array2_d: |
| shape: |
| - -1 |
| - 1 |
| dtype: int32 |
| - name: mask_2 |
| dtype: |
| array2_d: |
| shape: |
| - -1 |
| - 1 |
| dtype: int32 |
| splits: |
| - name: train |
| num_bytes: 7881680104 |
| num_examples: 126 |
| download_size: 5293657341 |
| dataset_size: 7881680104 |
| configs: |
| - config_name: raw |
| default: true |
| data_files: |
| - split: train |
| path: raw/train-* |
| license: cc-by-4.0 |
| --- |
| # Pheno4D Point Cloud Segmentation |
|
|
| A dataset for point cloud semantic segmentation of maize and tomato plants. The dataset contains 126 labeled 3D scans across two species, tomato (single label scheme) and maize (dual label scheme: collar-based and tip-based organ boundaries), with per-point labels identifying plant organs (e.g. stem, leaf). |
|
|
| Each sample includes: |
| - `points`: an (N, 3) array of x, y, z point coordinates, N varies per scan |
| - `mask`: an (N, 1) array of per-point organ labels (primary label scheme) |
| - `mask_2`: an (N, 1) array of per-point organ labels (secondary label scheme, maize only; -1 where not applicable) |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| **Note:** this is AgML's first point cloud dataset. Naming follows the `mask` convention used for 2D semantic segmentation datasets in this organization, adapted for 3D point data (stored as `Array2D` with a dynamic first dimension rather than image masks). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{schunck2021pheno4d, |
| title={Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis}, |
| author={Schunck, David and Magistri, Federico and Rosu, Radu Alexandru and Corneli{\ss}en, Anne and Chebrolu, Nived and Paulus, Stefan and L{\'e}on, Jens and Behnke, Sven and Stachniss, Cyrill and Kuhlmann, Heiner and Klingbeil, Lasse}, |
| journal={PLOS ONE}, |
| volume={16}, |
| number={8}, |
| pages={1--18}, |
| year={2021}, |
| publisher={Public Library of Science}, |
| doi={10.1371/journal.pone.0256340} |
| } |
| ``` |
|
|
| Original dataset: https://www.ipb.uni-bonn.de/data/pheno4d/ |
|
|
| *This dataset was reformatted to match HuggingFace standards as part of AgML's point cloud dataset support.* |
