AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation

AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation

The present dataset comprises a collection of RGB-D apple tree images that can be used to train and test computer vision-based fruit detection and sizing methods. This dataset encompasses two distinct sets of data obtained from a Fuji and an Elstar apple orchards. The Fuji apple orchard sub-set cons...

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Bibliographic Details
Main Authors: Jordi Gené-Mola, Mar Ferrer-Ferrer, Jochen Hemming, Pieter van Dalfsen, Dirk de Hoog, Ricardo Sanz-Cortiella, Joan R. Rosell-Polo, Josep-Ramon Morros, Verónica Vilaplana, Javier Ruiz-Hidalgo, Eduard Gregorio
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Data in Brief
Subjects:
Instance segmentation
Modal segmentation
Amodal segmentation
Yield prediction
Depth image
Fruit measurement
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923010302

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http://www.sciencedirect.com/science/article/pii/S2352340923010302

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