Dataset Open Access

Global Wheat Head Dataset - 2020 challenge version

DAVID, Etienne


Dublin Core Export

<?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>
1,060
12,451
views
downloads
All versions This version
Views 1,060612
Downloads 12,4513,503
Data volume 86.4 TB24.3 TB
Unique views 784525
Unique downloads 1,447691

Share

Cite as