| 10-06-2024 |
Peach dataset trunk annotation and segmentation for flower density estimation
A dataset of about 600 samples of peach trees should be manually annotated using an annotation tool to yield training, validation, and testing datasets. The datasets will be used to train deep-learning semantic segmentation models and recognize peach tree trunks and branches. The segmentation outcomes are expected to be used for estimating the relative flower density of each tree.
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/4 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 10-06-2024 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 1/4 available vacants |
Mentor(s): Open in the plataform |