Plant Phenomics / 2020 / Article / Tab 1

Research Article

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

Table 1

Characteristics of the experiments used to acquire images for GWHD dataset.

Sub-dataset nameInstitutionCountryLat (°)Long (°)YearNo. of datesTargeted stagesRow spacing (cm)Sowing density (seeds·m2)No. of genotypes

UTokyo_1NARO & UTokyoJapan36.0 N140.0 E20183Postflowering1518666
UTokyo_2NARO & UTokyoJapan42.8 N143.0 E20166Flowering12.52001
Arvalis_1ArvalisFrance43.7 N5.8 E20173Postflowering-ripening17.530020
Arvalis_2ArvalisFrance43.7 N5.8 E20191Postflowering17.530020
Arvalis_3ArvalisFrance49.7 N3.0 E20193Postflowering-ripening17.53004
INRAE_1INRAEFrance43.5 N1.5 E20191Postflowering163007
USask_1University of SaskatchewanCanada52.1 N106 W20191n.a30.525016
RRes_1Rothamsted researchUK51.8 N0.36 W20161n.an.a3506
ETHZ_1ETHZSwitzerland47.4 N8.6 E20181n.a12.5400354
NAU_1Nanjing Agric. UniversityChina31.6 N119.4 E20181Flowering20300 or 4505
UQ_1UQueenslandAustralia27.5 S152.3 E20161Flowering -ripening221508

Images were checked carefully to ensure that heads have fully developed and flowered.