Quick Start Guide for MARIDA (Marine Debris Archive)
-
Updated
Dec 28, 2023 - Python
Quick Start Guide for MARIDA (Marine Debris Archive)
[ISPRS Journal of Photogrammetry and Remote Sensing] Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-2 Imagery
A tool to automatically label, classify, and count marine debris in your aerial imagery. Designed to automate the tedious parts of standing stock surveys for shoreline stranded marine debris. Powered by AI!
Marine Debris Detection with Commercial Satellite Imagery and Deep Learning.
Semantic segmentation of marine anomalies using semi-supervised learning (FixMatch for semantic segmentation) on Sentinel-2 multispectral images.
Analysis and data of beach-litter-surveys in Switzerland 2015-2021. Notebooks and maps for documenting and producing basic analysis of survey results.
Add a description, image, and links to the marine-litter topic page so that developers can more easily learn about it.
To associate your repository with the marine-litter topic, visit your repo's landing page and select "manage topics."