marine_debris_ML

Marine Debris Detector

A deep learning model to detect floating marine debris in satellite imagery using commercial small satellite data

Marine debris detection with commercial satellite imagery and deep learning.

GitHub

79 stars
5 watching
20 forks
Language: Python
last commit: about 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
marine-debris/marine-debris.github.io A tool for extracting spectral signatures and training deep learning models to detect marine debris from satellite images. 44
digitalglobe/mltools Tools for building machine learning solutions on satellite imagery 81
jliemansifry/semantic-segmentation Develops deep learning models to classify and annotate pixel-level details in satellite images 21
wimlds-trojmiasto/detect-waste AI system for detecting plastic waste in environment 182
spaceml-org/starcop A framework for training and deploying hyperspectral machine learning models for methane plume detection from satellite imagery 43
lishen/end2end-all-conv Develops machine learning models to detect breast cancer from mammography images using deep learning techniques 374
mhscience/landslides_detection Detects landslides from satellite imagery using machine learning and image segmentation 91
microsoft/roaddetections Automating road detection from aerial imagery using deep learning techniques. 538
mlsecproject/combine Tool to gather Threat Intelligence indicators from publicly available sources 655
bharath272/sds_eccv2014 A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. 96
geometalab/osmdeepod Automated object detection from aerial imagery using OpenStreetMap data and deep learning. 192
ibm/max-breast-cancer-mitosis-detector A machine learning-based system for detecting mitosis in breast cancer tumor cells from images 23
comet-ml/comet-examples An open source repository providing examples and tutorials on how to use Comet for Machine Learning experiment management in Python 151
ftramer/steal-ml An implementation of extraction attacks against Machine Learning models offered by Cloud-based services 344
chanyn/hkrm Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. 104