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...
| Autores: | , , , , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat de Lleida (UdL) |
| Repositorio: | Repositori Obert UdL |
| OAI Identifier: | oai:dnet:.___________::56546873e863426f9e896a72e4e719ee |
| Acceso en línea: | https://doi.org/10.34810/DATA2318 |
| Access Level: | acceso abierto |
| Palabra clave: | Agricultural Sciences Engineering Fruit size Precision agriculture |
| Sumario: | 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). |
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