Skip to content
This repository has been archived by the owner on Dec 22, 2019. It is now read-only.

Efficient Image Search and Identification: the Making of WINE-O.AI

Notifications You must be signed in to change notification settings

mlgill/scipy_2017_wine-o.ai

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

Efficient Image Search and Identification: the Making of WINE-O.AI

Michelle L. Gill, Ph.D.
Senior Data Scientist, Metis
SciPy 2017 Talk

Abstract

This presentation will discuss the implementation of an image-based identification system for wine labels using Python scientific and machine learning libraries. An overview of the methodology for this technique, called content-based image retrieval, will be presented. Techniques for improving search accuracy and retrieval time will also be discussed. The intended audience is individuals who have a limited/basic familiarity with machine learning and computer vision techniques.

The slides are also available on Speaker Deck.

About

Efficient Image Search and Identification: the Making of WINE-O.AI

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published