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PyHum
Python code to read, display, export and analyse Humminbird sidescan sonar datapyDGS
Wavelet-based digital grain size analysisdl_landscapes_paper
Buscombe & Ritchie (2018) Landscape Classification with Deep Neural Networks. Geosciences 2018, 8(7), 244dl_tools
A collection of tools for image classification and recognition using deep transfer learningpysesa
python module for spatially explicit spectral analysisMLMONDAYS
Materials for the USGS "Deep Learning for Image Classification and Segmentation" CDI workshop, 2020OpticalWaveGauging_DNN
Data and code to implement Buscombe et al (2019) optical wave gauging using deep neural networksEarthAnnotator
Rapid image labeling for data-driven Earth science discovery.doodle_labeller
A python/openCV tool for "Human-In-The-Loop" image segmentation and label image creation using semi-supervised MLSandSimulationToolbox
MATLAB software to simulate realistic models of packed sediment/granular beds consisting of individual discrete grains.SatelliteInPaint
Inpaint satellite imagery using Stable DiffusionCoastTrain
A landing page for the Coast Train projectcdi_dl_workshop
A collection of jupyter notebooks for image classification and recognition using deep transfer learningDGS-for-Cores
The Digital Grain Size Project: Automated Estimates of Grain Size from Images of Sediment. GUI designed for sediment images where vertical variation of grain size is important, such as cores 📷prism
Probabilistic Acoustic Sediment Mapping toolboxmlmondays_data_objrecog
Datasets for ML Mondays Part 2: supervised object recognitionCoastTrainMetaPlots
jupyter notebooks to make plots from Coast Train metadataCoastseg_manuscript
A repository to host the Journal of Open Source Software manuscript that describes the CoastSeg projectBenthicAnalysisTool
Matlab GUI for semi-automation and annotation of deep-sea ROV benthic imageryLove Open Source and this site? Check out how you can help us