• Skip to main content
CosmiqWorks
  • cosmiqworks-logo-r@2x
  • Projects
  • Blog
  • Podcasts
  • Resources
  • About
  •         

Machine Learning for Maritime Vessel Analysis

June 27, 2018 by rocky

Machine Learning for Maritime Vessel Analysis

SEE ALL PROJECTS

CosmiQ Works’ first project exploring the intersection of emerging machine learning techniques and remote sensing data focused on maritime ship detection and characterization as the primary research application. The project focused on the foundational elements ranging from data labeling techniques and taxonomies to performance evaluation between legacy machine learning models and emerging deep learning models. Furthermore, we used the project to quantify the impact of image resolution on existing objection detection algorithms. This foundational project helped influence a variety of other CosmiQ projects or collaborations including the development and release of our own open source deep learning workflow designed  specifically for satellite images.

Related Posts

  • Setting a Foundation for Machine Learning: Datasets and Labeling
  • Histogram of Oriented Gradients (HOG) Boat Heading Classification
  • Quantifying the Effects of Resolution on Image Classification Accuracy
  • Object Detection in Satellite Imagery, a Low Overhead Approach, Part I
  • Object Detection in Satellite Imagery, a Low Overhead Approach, Part II
  • The Effect of Resolution on Deep Neural Network Image Classification Accuracy

Filed Under: Archived Projects Tagged With: advisory, models

  • Projects
  • Podcasts
  • Blog
  • Resources
  • About

  • Copyright © 2019 · IQT Labs LLC - All Rights Reserved | Terms of Use | Privacy Policy

We use cookies to analyze the usage of our websites and give you a better experience. You consent to our cookies if you click on “Agree” and continue to use our website. Read our Privacy Policy for more information and to know how to amend your settings.AgreePrivacy policy