Dataset Open Access
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>DAVID, Etienne</dc:creator> <dc:date>2020-08-20</dc:date> <dc:description>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: </dc:description> <dc:identifier>https://zenodo.org/record/4298502</dc:identifier> <dc:identifier>10.5281/zenodo.4298502</dc:identifier> <dc:identifier>oai:zenodo.org:4298502</dc:identifier> <dc:relation>doi:10.5281/zenodo.4252245</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://opensource.org/licenses/MIT</dc:rights> <dc:source>Plant Phenomics</dc:source> <dc:subject>deep learning</dc:subject> <dc:subject>wheat head</dc:subject> <dc:subject>detection dataset</dc:subject> <dc:title>Global Wheat Head Dataset - 2020 challenge version</dc:title> <dc:type>info:eu-repo/semantics/other</dc:type> <dc:type>dataset</dc:type> </oai_dc:dc>
All versions | This version | |
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Views | 3,918 | 3,146 |
Downloads | 18,307 | 9,342 |
Data volume | 126.9 TB | 64.7 TB |
Unique views | 3,094 | 2,705 |
Unique downloads | 4,994 | 4,230 |