Updating high-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids with expanded images and annotationsDataverse

Updating high-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids with expanded images and annotationsDataverse

This dataset is an expanded version of a previously published collection of high-resolution RGB images of Urochloa spp. genotypes, initially designed to facilitate automated classification of phenological stages and raceme identification in forage breeding trials. The original dataset included 2400...

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Bibliographic Details
Main Authors: Darwin Alexis Arrechea-Castillo, Paula Espitia-Buitrago, David Florian-Vargas, Ronald David Arboleda, Riquelmer Velázquez-Hernández, Andrés Felipe Ruiz-Hurtado, Luis Miguel Hernandez, Rosa N. Jauregui, Juan Andrés Cardoso
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Data in Brief
Subjects:
Brachiaria
Forage grasses
Machine learning
Deep learning
Instance segmentation
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925003257
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