Marine debris detection using deep learning and high resolution satellite images
Description
Floating marine debris is a global pollution problem which threatens marine and human life and leads to the loss of biodiversity. Large swaths of marine debris are also navigational hazards to vessels. This project uses deep learning to detect floating marine debris in satellite imagery.
Detailed example
detect floating marine debris
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Floating marine debris is a global pollution problem which threatens marine and human life and leads to the loss of biodiversity. Large swaths of marine debris are also navigational hazards to vessels. This project uses deep learning to detect floating marine debris in satellite imagery.
Controls / human review
ATO: Not reported; PIA: Not published