PlasticDetectionModel is a machine learning model used for detecting marine debris, specifically plastic, from Sentinel-2 L2A satellite images. The model is customized from the marinedebrisdetector to work in memory on a serverless cloud infrastructure. This repository contains the code and resources necessary for deploying the model on a Runpod serverless GPU. This repository is part of a larger pipeline aimed at identifying marine debris on a schedule: PlasticDetectionService. Ultimately, the predictions will be displayed on our mapping application, deployed here: https://oceanecowatch.org/en
