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...
| 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:repositori.udl.cat:10459.1/468173 |
| Acceso en línea: | https://doi.org/10.34810/data2333 |
| Access Level: | acceso abierto |
| Palabra clave: | Agricultural Sciences Engineering Precision agriculture Fruit size Machine learning Remote sensing |
| Sumario: | 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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