Can a Single Screenshot Predict a Game’s Success?

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I downloaded a screenshot from every single game on Steam and used a neural network to build The Gaming Map: a landscape where games that look alike cluster together. Can we learn anything from how successful games look? We explore the map using game metadata like review counts, prices, and genres. Any patterns that emerge come purely from visual similarity, inferred from the images alone.

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0:00​ Building The Gaming Map
2:52 Overlaying metadata
3:17 General layout
5:37 Reviews
6:37 Correlation ≠ Causation
7:09 Sentiment
7:28 Price
8:47 Headers
9:13 Hue
10:09 Brightness
10:49 Saturation
11:26​ Final thoughts
12:23​ Sponsor: Brilliant

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🎥 Video by:

Nati Mendez
https://www.behance.net/natimendez
[email protected]

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📊 The Gaming Map
These files are generated directly from Steam images; some visuals may include NSFW material. Please use discretion.
https://drive.google.com/drive/folder...

🎬 Related videos:

   • I Scraped the Entire Steam Catalog, Here’s...  
   • I Downloaded EVERY Silksong Review, Here’s...  
   • why Japan's internet is weirdly designed  
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📚 Related reads:

the peculiar case of japanese web design
https://sabrinas.space/
From Pixels to Titles: Video Game Identification by Screenshots using Convolutional Neural Networks
https://arxiv.org/html/2311.15963v2
t-SNE for Feature Visualization
https://learnopencv.com/t-sne-for-fea...
How to Use t-SNE Effectively
https://distill.pub/2016/misread-tsne/
ImageNet
https://www.image-net.org/

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This video was sponsored by Brilliant.

#GameDev​ #Steam #Data #IndieDev #VideoGames