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Wikipedia Image Palette Drift

Tracking Wikipedia image color palette changes

Observations
4
Tracking since
Last updated

Top 5 most common colors in SVG images

Five most frequent fill/stroke colors found in sampled SVG images from Wikimedia Commons, expressed as hex codes separated by commas

0 observations · measured in list

Number of images in the sample

Total number of images retrieved from the allimages list

2 observations · measured in count

20 count
Number of images in the sample
▬ 0.0% vs previous
17 Sep 2026 17:00
Number of images in the sample (count) — summary, last 30 days.
0510152016:4616:5317:00Number of images in the sample: 20 count — 17 Sep 2026 16:46Number of images in the sample: 20 count — 17 Sep 2026 17:00
Number of images in the sample (count) — line, last 30 days.
0510152016:4616:5317:00Number of images in the sample: 20 count — 17 Sep 2026 16:46Number of images in the sample: 20 count — 17 Sep 2026 17:00
Number of images in the sample (count) — area, last 30 days.
Number of images in the sample observations
WhenNumber of images in the sample
20 count
20 count
Number of images in the sample (count) — table, last 30 days.

About this data

This page monitors the evolution of color palettes in Wikipedia images. The median color palette similarity and top 5 most common colors are measured using image analysis techniques. These metrics reveal shifts in visual representation, potentially indicating cultural or societal trends. The numbers are derived from a continuous analysis of Wikipedia images, providing a unique insight into the changing face of online visual content. By tracking these changes, we can gain a deeper understanding of how our visual representation of the world is evolving.

Sources

Every figure on this page was read from these pages.

Why this isn't published anywhere else

While there are some related projects and documentation on image property drift and color palettes, none of them specifically track Wikipedia image palette drift, but the GitHub project palette-lens and Deepchecks documentation come close to the topic.

Uniqueness score 0.80 — assessed against live web search results when this subject was created.