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1
Intro
2
ON THE MENU
3
PINTEREST SEARCH
4
CV Approaches
5
Advanced Applications
6
CLASSIFICATION
7
IMAGE CAPTIONING
8
CODE GENERATION
9
Code - Part 1
10
Code - Part 2
11
First Approach
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Second Approach
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Third Approach
14
Image Embeddings
15
Code - Part 4
16
Improving Results
17
Code - Part 5
18
Code - Part 6 - Run the Streamlit Demo
Description:
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.

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

Open Data Science
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