| 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 2/2 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 10-06-2024 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 2/2 available vacants |
Mentor(s): Open in the plataform |
| 27-06-2023 |
Development of Web Platform for translatation and annotation of radiological reports
Joint project with Professor Jocelyn Dunstan (DCC UC) and Radiology PhD UC (Cecilia Besa, Medicina UC) to develop a web platform that allows us to translate English-Spanish radiological reports and label entities in the reports as well as images. The purpose is for this platform to serve doctors to label images and reports and later, with the data, train AI models that automatically write the radiological report in Spanish from a medical image. Evaluation method: Nota 1-7, with 0/3 available vacants |
Mentor(s): Open in the plataform |