Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibration

被引：0

作者：

da Silva, Karla Gabriele Florentino ^{[1
,3
]}

Rozatto, Paulo Victor de Magalhaes ^{[1
]}

Sousa, Kaio de Oliveira e ^{[1
]}

Hudson, Lucas Dias ^{[1
]}

Meyer, Artur Welerson Sott ^{[1
]}

Silva, Alemilson Fabiano ^{[1
]}

Mendes, Igor Tibirica ^{[1
]}

Borges, Alex Rodrigues ^{[2
]}

Morais, Leandro Elias ^{[2
]}

Maciel, Luiz Maurilio da Silva ^{[1
]}

Villela, Saulo Moraes ^{[1
]}

Pedrini, Helio ^{[3
]}

Vieira, Marcelo Bernardes ^{[1
]}

机构：

[1] Univ Fed Juiz de Fora, Dept Comp Sci, BR-36036900 Juiz De Fora, MG, Brazil

[2] Fed Inst Educ Sci & Technol Minas Gerais, Dept Nat Sci, BR-36494018 Ouro Branco, MG, Brazil

[3] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP, Brazil

来源：

DATA IN BRIEF | 2025年 / 59卷

关键词：

Leaf measurement; Deep learning; Semantic segmentation; Fiducial marker; Area estimation;

D O I：

10.1016/j.dib.2025.111328

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Leaf dimensioning is relevant for analyzing plant responses to several conditions such as soil fertility, availability of light, agricultural pesticide effect, and access to water in the soil or periods of drought. In this paper, we present a dataset composed of 6981 images of 612 common bean leaves ( Phaseolus vulgaris ). We captured the images of each leaf accompanied by a fiducial marker and annotated the known leaf dimensions (area, perimeter, length, and width). We provide annotations concerning image segmentation, known area uniformly distributed over the leaf region, real area of the marker region, marker pose, capture conditions, and camera calibration. This dataset can be useful for developing deep learning algorithms for leaf dimensioning and related problems. Therefore, there is a potential to contribute to computer vision and plant physiology researchers and specialists. (c) 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

引用

页数：20