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.
81 stars
5 watching
21 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for extracting spectral signatures and training deep learning models to detect marine debris from satellite images. | 46 |
| Tools for building machine learning solutions on satellite imagery | 81 |
| Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |
| AI system for detecting plastic waste in environment | 185 |
| A framework for training and deploying hyperspectral machine learning models for methane plume detection from satellite imagery | 44 |
| Develops machine learning models to detect breast cancer from mammography images using deep learning techniques | 378 |
| Tool to detect landslides from satellite imagery using machine learning and image analysis | 94 |
| Automating road detection from aerial imagery using deep learning techniques. | 541 |
| Tool to gather Threat Intelligence indicators from publicly available sources | 657 |
| A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 |
| Automated object detection from aerial imagery using OpenStreetMap data and deep learning. | 192 |
| A machine learning-based system for detecting mitosis in breast cancer tumor cells from images | 23 |
| Provides examples of using Comet for Machine Learning experiment management in various Python libraries and workflows. | 152 |
| A tool for extracting machine learning models from cloud-based services using prediction APIs | 344 |
| Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 105 |