orbtl-ai / DebrisScanLinks
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!
☆8Updated last year
Alternatives and similar repositories for DebrisScan
Users that are interested in DebrisScan are comparing it to the libraries listed below
Sorting:
- Agisoft Metashape scripts for underwater photogrammetry / Large Area Imaging☆15Updated 2 months ago
- A streamlit web app visualizing global surface water datasets.☆13Updated 2 years ago
- Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, co…☆13Updated last year
- Enabling Geospatial Predictions from Individual Drone Images☆12Updated last week
- Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and …☆10Updated 3 years ago
- Code repository for the paper: The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs☆12Updated 2 months ago
- This is a program that uses multi-source remote sensing data to monitor the dynamic changes of lakes.☆11Updated 2 years ago
- ☆16Updated last year
- ☆12Updated 2 months ago
- This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plast…☆30Updated last year
- The Segmentation Tool is a graphical user interface (GUI) tool developed using PyQt5 and based on the Facebook Segment Anything Model. It…☆16Updated 2 years ago
- A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitori…☆20Updated 2 years ago
- Codes for Super-Resolution Deep Neural Networks for Water Classification from Free Multispectral Satellite Imagery☆10Updated last year
- Classify crop types in drone images with a pre-trained CNN☆11Updated 5 years ago
- FlipnSlide: A Python Package for for Preserving Spatial Context when Preprocessing Large Scientific Images☆14Updated 2 weeks ago
- LTER working group - The Flux Gradient Project: Understanding the methane sink-source capacity of natural ecosystems☆12Updated last week
- Python library (multi-threaded) for retrieving SRTM elevation map of CGIAR-CSI.☆12Updated last year
- Surv-Lukmon / Land-Cover-Classification-Using-Machine-Learning-Algorithms-and-Multi-Source-Satellite-ImagesAssessed the performance of Random Forest (RF) and Support Vector Machines (SVM) machine learning algorithms for land cover classificati…☆18Updated 11 months ago
- This project is a QGIS plugin that brings precipitation data from German Meteorological Service (DWD) - radar data in RADOLAN/RADKLIM bin…