KFuji RGB-DS dataset
The KFuji RGB-DS dataset is composed by 967 multi-modal images of Fuji apples on trees captured using Microsoft Kinect v2 (Microsoft, Redmond, WA, USA). Each image contains information from 3 different modalities: color (RGB), depth (D) and range corrected IR intensity (S). Ground truth fruit locati...
| Autores: | , , , , , |
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| Tipo de recurso: | otro |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat de Lleida (UdL) |
| Repositorio: | Repositori Obert UdL |
| OAI Identifier: | oai:repositori.udl.cat:10459.1/68791 |
| Acceso en línea: | http://doi.org/10.5281/zenodo.3715990 https://doi.org/10.5281/zenodo.3715990 http://hdl.handle.net/10459.1/68791 |
| Access Level: | acceso abierto |
| Palabra clave: | Molti-modal dataset Fruit detection Depth cameras RGB-D Fruit reflectance Computer vision Deep learning Agrobotics Artificial Intelligence |
| Sumario: | The KFuji RGB-DS dataset is composed by 967 multi-modal images of Fuji apples on trees captured using Microsoft Kinect v2 (Microsoft, Redmond, WA, USA). Each image contains information from 3 different modalities: color (RGB), depth (D) and range corrected IR intensity (S). Ground truth fruit locations were manually annotated, labeling a total of 12,839 apples in all the dataset. |
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