对于全国美展的机器学习分析 Machine Learning Approaches on China National Exhibitions of Fine Arts

UMAP_montage

The China National Exhibitions of Fine Arts is one of the most important exhibitions in China.

If you want to get the title of professor, you have to win this competition.

I have collected images from the 9th to 13th award-winning works over two decades. The dataset has 2,684 images and 13.7 GB in total.

Then I used TensorFlow to classify them. We can easily see several broad categories, such as city streets, military life, farmers, ethnic minorities, etc.

You can find the details through my Google Colab project

storedUmapMontage
  • 9th
  • 10th
  • 11th
  • 12th
  • 13th
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