Dataset Open Access
Global Wheat Head Dataset - 2020 challenge version
DAVID, Etienne
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 | |
|---|---|---|
|
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 | |
|---|---|---|
| Views | 1,640 | 1,144 |
| Downloads | 12,978 | 4,022 |
| Data volume | 90.0 TB | 27.9 TB |
| Unique views | 1,259 | 982 |
| Unique downloads | 1,835 | 1,076 |
- Publication date:
- August 20, 2020
- DOI:
-
- Keyword(s):
- deep learning wheat head detection dataset
- Published in:
- Plant Phenomics:.
- License (for files):
- MIT License