Software engineer with an interest in machine learning
in the past: java, c++, perl + loads of other stuff
Example machine learning projects I've created at Pond5:
Aerial classifier - Try it out.
Determine if footage is shot from above (e.g. by a drone, from an aircraft).
Green screen classifier - Try it out.
Determine if footage contains green screen.
People classifier - Try it out.
Classify how many people are in a video.
Visual Similarity Search - Try it out.
Finding visual similar items using convolutional neural networks, and using clusters for performance.
Browser Extensions; edit images and perform visual search - Try it out.
Browser extensions was an idea I had where I did the coding from proof of concept to released product, notice the ability to remove objects.
The visual search and the browser extensions received a best in show award for AI technology at NAB2018
Visual Color Search - Try it out.
Finding items based on similar colour scheme
Projects that have no UI (used internally / backend)
Classifiers based on textual data (and other meta data)
Visual classifiers to identify if a source image has certain properties or contains certain objects