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Global Wheat Head Dataset - 2020 challenge version

DAVID, Etienne


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    "description": "<p>DEPRECATED: please download https://zenodo.org/record/4271191</p>\n\n<p>&nbsp;</p>\n\n<p>This is the only official version of the Global Wheat Head Dataset presented in David et al. (2020) . It&#39;s a corrected version of the dataset published on Kaggle, and the one used for the Codalab challenge.</p>\n\n<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>&nbsp;or contacting <strong>etienne.david@outlook.com</strong></p>\n\n<p>If you use the dataset for your paper, please cite:&nbsp;<a href=\"https://doi.org/10.34133/2020/3521852\">https://doi.org/10.34133/2020/3521852</a></p>\n\n<p>If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge:&nbsp;</p>", 
    "title": "Global Wheat Head Dataset - 2020 challenge version", 
    "journal": {
      "title": "Plant Phenomics"
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    "access_conditions": "<p>email to etienne.david@outlook.com</p>", 
    "version": "1", 
    "references": [
      "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"
    ], 
    "keywords": [
      "deep learning", 
      "wheat head", 
      "detection dataset"
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    "publication_date": "2020-08-20", 
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