Leaf on Stem Image Dataset Beans (LSID-Beans)
Published: 20 November 2024| Version 2 | DOI: 10.17632/f42hwwrpgn.2
Contributors:
, , , , , , , , , , , , Description
The dataset is composed of 6981 images of 612 common bean leaves (Phaseolus vulgaris). Each image contains a leaf accompanied by a fiducial marker. The resolution of the images is 512 x 512 pixels. The dataset provide annotations of the known leaf dimensions (area, perimeter, length, and width), 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.
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Institutions
Universidade Estadual de Campinas, Universidade Federal de Juiz de Fora, Instituto Federal de Educacao Ciencia e Tecnologia Minas Gerais
Categories
Computer Vision, Camera Calibration, Image Segmentation, Leaf Area