A: GENERAL INFORMATION

1. Title of the dataset: BonnBeetClouds3D

2. Brief description of the research project and its aims: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions

3. Author Information
	A. Investigator Contact Information
		Name: Elias Marks
		Institution: University of Bonn
		Address: Nussallee 15, 53115 Bonn
		Email: elias.marks@uni-bonn.de

	B. Project Supervisor (Principal Investigator) Contact Information
		Name: Cyrill Stachniss
		Institution: University of Bonn
		Address: Nussallee 15, 53115 Bonn
		Email: cyrill.stachniss@igg.uni-bonn.de

	C. In case of questions related to this dataset, please contact:
		Name: Elias Marks
		Institution: University of Bonn
		Address: Nussallee 15, 53115 Bonn
		Email: elias.marks@uni-bonn.de

4. Date of data collection: 2022-07

5. Information about funding sources that supported the collection of the data: This work has partially been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy, EXC-2070 -- 390732324 -- PhenoRob, under STA~1051/5-1 within the FOR 5351~(AID4Crops), and by the Federal Ministry of Food and Agriculture~(BMEL) based on a decision of the Parliament of the Federal Republic of Germany via the Federal Office for Agriculture and Food~(BLE) under the innovation support programme under funding no~28DK108B20~(RegisTer).

6. Language of the dataset: English

7. Geographic location of data collection: Germany



B: DATA & FILE OVERVIEW

1. Data format: The dataset consists of point clouds provided in the ply format. Each ply file contains a region of 1m x 1m of the field.
File List: "train" contains the training patches

2. Data organisation: We provide predefined splits of the dataset, "train" contains the data used for training deep learning approaches, "val" contains the data used for validation of the hyper parameters of the approach and "test" contains the data used for testing the performance of the approach.



C SHARING/ACCESS INFORMATION

1. Was data derived from another source? yes/no: no

2. Licenses/restrictions placed on the data: Creative Commons CC0 1.0

3. Links to publications that cite or use the data: https://doi.org/10.48550/arXiv.2312.14706 



D METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: The data was collected by a camera attached to a UAV

2. Methods for processing the data: The point clouds were generated by SfM techniques

3. Instrument- and/or software-specific information needed to interpret the data: The data can be parsed by many point cloud visualization and processing tools e.g. CloudCompare, Open3d

4. People involved in sample collection, processing, analysis and/or submission: Elias Marks, Jonas Bömer, Federico Magistri, Anurag Sag, Jens Behley, Cyrill Stachniss

5. Environmental/experimental conditions: The data was collected on a day with moderate wind and heat.