Plant and Leaf Annotations

Dense pixel-wise annotations of over 5,000 plants including crops and weeds. Highly detailed, pixel-wise annotations of over 30,000 crop leaves.

Different field conditions

We captured data at multiple days in two different years resulting in different growth stages and lighting conditions.


Benchmarks for semantic segmentation, panoptic segmentation, detection, leaf instance segmentation, and hierarchical panoptic segmentation.


June 07, 2034 — Unlabeled data is now available. See the dataset webpage for download links.

December 03, 2032 — PhenoBench (Version 1.1.0): Temporally consistent instance ids that identify crops by a unique instance id. Images and semantics are the same. See the dataset webpage for a download link.

July 15, 2023 — Published baseline code, checkpoints, and predictions of all baselines on GitHub.

July 13, 2023 — First release of our PhenoBench devkit on GitHub and PyPi.

June 21, 2023 — Benchmark tasks are online! See our benchmarks page for more information and links to CodaLab competitions.

June 20, 2023Start of PhenoBench Competition at CVPPA 2023 Workshop at ICCV 2023!

June 01, 2023 — Dataset release (Version 1.0.0). See the dataset webpage for a download link.


(Please hover over images to have a closer look.)

Plant Semantics

Plant Instances

Crop Leaf Instances


Jan Weyler

Federico Magistri

Elias Marks

Yue Linn Chong

Matteo Sodano

Gianmarco Roggiolani

Nived Chebrolu

Cyrill Stachniss

Jens Behley


This work has been funded by been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy, EXC-2070 - 390732324 (PhenoRob).