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 has been the detectron2 implementation of the MaskRCNN (https://github.com/facebookresearch/detectron2).
This software is stored and maintained in the following github repository: https://github.com/GRAP-UdL-AT/multitask_RGB-D_FruitDetectionAndSizing
| Creator |
Ferrer Ferrer, Mar; Ruiz Hidalgo, Javier (ORCID: 0000-0001-6774-685X); Gregorio López, Eduard  ; Vilaplana Besler, Verónica ; Morros Rubió, Josep Ramon (ORCID: 0000-0002-1395-487X); Gené Mola, Jordi |
| Publisher |
CORA.Repositori de Dades de Recerca |
| Contributor |
Gené Mola, Jordi; Universitat de Lleida; Centre de Recerca en Agrotecnologia |
| Publication Year |
2025 |
| Rights |
MIT; info:eu-repo/semantics/openAccess; https://opensource.org/licenses/MIT |
| OpenAccess |
true |
| Contact |
Gené Mola, Jordi (Universitat de Lleida) |
| Resource Type |
Program source code; Dataset |
| Format |
text/x-python; application/octet-stream; text/markdown; text/x-c; application/cu-seeme; application/x-sh; text/plain; text/plain; charset=US-ASCII; text/css; application/x-docker-file; text/x-makefile |
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| Version |
1.0 |
| Discipline |
Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences |
