19 citations · 31 across the 3 of their papers we have counts for
4 papers
Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods
Etienne David, Mario Serouart, Daniel Smith +32
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4,700 RGB images acquired from various acquisition platforms…
Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution
Kaaviya Velumani, Raul Lopez-Lozano, Simon Madec +4
Early-stage plant density is an essential trait that determines the fate of a genotype under given environmental conditions and management practices. The use of RGB images taken fr…
Global Wheat Challenge 2020: Analysis of the competition design and winning models
Etienne David, Franklin Ogidi, Wei Guo +2
Data competitions have become a popular approach to crowdsource new data analysis methods for general and specialized data science problems. In plant phenotyping, data competitions…
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
E. David, S. Madec, P. Sadeghi-Tehran +14
Detection of wheat heads is an important task allowing to estimate pertinent traits including head population density and head characteristics such as sanitary state, size, maturit…