Dataset Open Access
The latest version is V4.
This is the only official version of the Global Wheat Head Dataset presented in David et al. (2020) . It's a corrected version of the dataset published on Kaggle, and the one used for the Codalab challenge.
Test labels are available on request by filling the form here or contacting etienne.david@outlook.com
If you use the dataset for your paper, please cite: https://doi.org/10.34133/2020/3521852
If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge:
Name | Size | |
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global-wheat-codalab-official.zip
md5:be1e6969728afcf6768b5b50a42221eb |
6.9 GB | Download |
David E. et al. Plant Phenomics (2020) : Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
All versions | This version | |
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Views | 2,787 | 2,151 |
Downloads | 15,266 | 6,306 |
Data volume | 105.9 TB | 43.7 TB |
Unique views | 2,224 | 1,876 |
Unique downloads | 3,132 | 2,369 |