marine-debris

Marine debris detection on free Sentinel-2 imagery: spectral indices (FDI/FAI), open-vocabulary detection with OWLv2, SAM 2 segmentation. No training, no GPU, no API keys.

Semantic segmentation of marine anomalies using semi-supervised learning (FixMatch for semantic segmentation) on Sentinel-2 multispectral images.

AI-powered marine debris detection and drift prediction system using deep learning, multispectral satellite imagery, geospatial analysis, and physics-based ocean modeling for environmental monitoring.

Evaluation of the Effectiveness of Marine Debris Reduction Policy in Motagua River Basin using Satellite DID. This repository contains code and data for the 2025 Fall Environmental Economics course project. (Focus: Econometric Causal Inference, Sentinel-2/MARIDA Data Processing)

Data Exploration and Visualization of Marine Debris in Singapore

Real-time underwater trash detection using YOLOv8s trained on the TrashCan dataset

Deep learning-based marine debris detection system using CNN and machine learning models to classify ocean images and identify plastic waste.

[PT] Este workshop oferece uma breve introdução sobre a detecção de detritos marinhos utilizando dados Level-2A de Sentinel-2. [EN] This workshop gives you a brief introduction on marine debris detection using Sentinel-2 Level-2A data.

A React project made using the Roboflow inference engine

Helping save our oceans one detection at a time | Open-source AI for marine debris identification and environmental research

Semantic segmentation of marine debris in underwater images using DeepLabV3+ · PyTorch · TrashCan dataset

FPCUP (Working Group Africa) training session about the detection of suspected marine debris using Sentinel-2