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Abstract

This project was created for http://school-slon.ru/ hackathon. As part of the assignment model for determining time period painting is belonged was designed.

Proposed approach

Firtly we downloaded a large amount of data with paintings from https://www.wga.hu For better class balance we decided to unite classes beloged to 201-1300 гг

For solving task this architecture was chosen:

  • Vgg19 network up to conv_5_1 (1)
  • Applying gram matrix (2) transformation for (1)
  • Filtering 8000 features from (2)
  • SVC with 13 classes

Results

On test set we've got sush results:

  • MSE: 4 (it means the model wrong on one century in average)
  • F1-score: 0.5
    Confusion matrix:

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