Difference between revisions of "ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 3"

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===Progressive GAN implementation===
 
===Progressive GAN implementation===
 
==Results validation==
 
==Results validation==
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{| style="background:transparent; color:black" border="0" align="center" cellpadding="10px" cellspacing="0px" height="550" valign="bottom"
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|- align="center"
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|+ '''T-SNE algorithm results for ''missing'' class synthesized images'''
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|
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|[[File:Missing 512x512.png|thumb|400x400px|512 × 512 resolution ''full'' images]]
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|
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|[[File:Missing 256x256.png|thumb|400x400px|256 × 256 resolution ''full'' images]]
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|
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|[[File:Missing upper lower 256x256.png|thumb|400x400px|256 × 256 resolution ''upper'' and ''lower'' region images]]
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|}
  
 
==Useful links==
 
==Useful links==

Revision as of 09:36, 14 April 2021

Info Box
NeuralNetwork.png Applies to Machine Learning


History[edit | edit source]

Version Date Notes
1.0.0 March 2021 First public release

Introduction[edit | edit source]

Building the dataset[edit | edit source]

Defects generation and acquisition[edit | edit source]

Class subdivision and labelling[edit | edit source]

Soldering regions extraction[edit | edit source]

Data augmentation with image synthesis[edit | edit source]

Generative adversarial networks[edit | edit source]

Progressive GAN implementation[edit | edit source]

Results validation[edit | edit source]

T-SNE algorithm results for missing class synthesized images
512 × 512 resolution full images
256 × 256 resolution full images
256 × 256 resolution upper and lower region images

Useful links[edit | edit source]