DAVID, Etienne
2020-08-20
<p>DEPRECATED: please download https://zenodo.org/record/4271191</p>
<p> </p>
<p>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.</p>
<p>Test labels are available on request by filling the form <a href="https://docs.google.com/forms/d/e/1FAIpQLSciaWUwQDNFP199Xb0Iqt2fY67tQI0hAZBJCCfvwd5OuIVQ3A/viewform?usp=sf_link">here </a> or contacting <strong>etienne.david@outlook.com</strong></p>
<p>If you use the dataset for your paper, please cite: <a href="https://doi.org/10.34133/2020/3521852">https://doi.org/10.34133/2020/3521852</a></p>
<p>If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge: </p>
https://doi.org/10.5281/zenodo.4252246
oai:zenodo.org:4252246
Zenodo
https://doi.org/10.5281/zenodo.4252245
info:eu-repo/semantics/restrictedAccess
Plant Phenomics, (2020-08-20)
deep learning
wheat head
detection dataset
Global Wheat Head Dataset - 2020 challenge version
info:eu-repo/semantics/other