Oil Spill Detection System in the Arabian Gulf Region: An Azure Machine-Learning Approach
Locating oil spills is a crucial portion of an effective marine contamination administration. In this project, we address the issue of oil spillage location exposure within the Arabian Gulf region, by leveraging a Machine-Learning (ML) workflow on a cloud-based computing platform: Microsoft Azure Machine-Learning Service (Custom Vision). Our workflow comprises a virtual machine, a database, and four modules (an Information Collection Module, a Discovery Show, an Application Module, and a Choice Module).