PApple_RGB-D-Size dataset

Fuji apple dataset for on-tree apple detection and measurment containing 3925 images annotated with modal and amodal segmentation masks and fruit diameter ground truth. This dataset was used to train the deep learning architecture published at https://github.com/GRAP-UdL-AT/Amodal_Fruit_Sizing. The...

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Detalhes bibliográficos
Autores: Gené Mola, Jordi, Ferrer Ferrer, Mar, Gregorio López, Eduard, Rosell Polo, Joan Ramon, Vilaplana Besler, Verónica, Ruiz Hidalgo, Javier, Morros Rubió, Josep Ramon
Formato: conjunto de datos
Fecha de publicación:2025
País:España
Recursos:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:dnet:.___________::2d34ca5dae756d6b6a0f59c810961aed
Acesso em linha:https://doi.org/10.34810/DATA2333
Access Level:acceso abierto
Palavra-chave:Agricultural Sciences
Engineering
Precision agriculture
Fruit size
Machine learning
Remote sensing
Descrição
Resumo:Fuji apple dataset for on-tree apple detection and measurment containing 3925 images annotated with modal and amodal segmentation masks and fruit diameter ground truth. This dataset was used to train the deep learning architecture published at https://github.com/GRAP-UdL-AT/Amodal_Fruit_Sizing. The resulting trained model is available by downloading in the file: model_000999.pth

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