Multitask_RGB-D_FruitDetectionAndSizing

Multitask Deep Neural Network for Fruit Detection and Regresion of Fruit Diameters in RGB-D images (based on Detectron2). This project is an extension of the MaskRCNN architecture that allows to compute the diameter of fruits along with performing instance segmentation. The baseline for this project...

Full description

Bibliographic Details
Authors: Ferrer Ferrer, Mar, Ruiz Hidalgo, Javier, Gregorio López, Eduard, Vilaplana Besler, Verónica, Morros Rubió, Josep Ramon, Gené Mola, Jordi
Format: conjunto de datos
Publication Date:2025
Country:España
Institution:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repository:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::50e5253d69d80a34b64e3bf2c2c5f869
Online Access:https://doi.org/10.34810/DATA2318
Access Level:Open access
Keyword:Agricultural Sciences
Engineering
Fruit size
Precision agriculture
Description
Summary:Multitask Deep Neural Network for Fruit Detection and Regresion of Fruit Diameters in RGB-D images (based on Detectron2). This project is an extension of the MaskRCNN architecture that allows to compute the diameter of fruits along with performing instance segmentation. The baseline for this project has been the detectron2 implementation of the MaskRCNN (https://github.com/facebookresearch/detectron2).

Similar Items