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YouTube

Building an Image Search Service from Scratch - Matthew Rubashkin, PhD - ODSC West 2018

Open Data Science via YouTube

Overview

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Learn how to build an image search service from scratch in this 40-minute workshop. Explore techniques for creating representations of image and text data, and discover efficient methods for similarity search. Gain practical skills to develop a quick semantic search model, regardless of dataset size. Dive into computer vision approaches, advanced applications, classification, image captioning, and code generation. Follow along with hands-on coding examples and improve search results through various approaches. Conclude by running a Streamlit demo to showcase your newly acquired skills in building an image search service.

Syllabus

Intro
ON THE MENU
PINTEREST SEARCH
CV Approaches
Advanced Applications
CLASSIFICATION
IMAGE CAPTIONING
CODE GENERATION
Code - Part 1
Code - Part 2
First Approach
Second Approach
Third Approach
Image Embeddings
Code - Part 4
Improving Results
Code - Part 5
Code - Part 6 - Run the Streamlit Demo

Taught by

Open Data Science

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