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Global Wheat Head Dataset - 2020 challenge version

DAVID, Etienne

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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: 

Files (6.9 GB)
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official-global-wheat-codalab.zip
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  • 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

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Publication date:
August 20, 2020
DOI:
10.5281/zenodo.4271191

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Keyword(s):
deep learning wheat head detection dataset
Published in:
Plant Phenomics:.
License (for files):
MIT License

Versions

Version 4 10.5281/zenodo.4298502 Aug 20, 2020
Version 3 10.5281/zenodo.4275239 Aug 20, 2020
Version 2 10.5281/zenodo.4271191 Aug 20, 2020
Version 1 10.5281/zenodo.4252246 Aug 20, 2020
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