#dollarstreet
We then applied the same analysis to images scraped from Airbnb from 219 countries and regions. As with the DollarStreet dataset, social and economic attributes of a country were highly predictive of dCNN performance. 2/n
January 25, 2024 at 1:26 PM
New preprint alert! This work examined socioeconomic biases in dCNNs pretrained to perform scene classification. We first used the DollarStreet dataset, an international set of user-submitted photos of home life. We found that dCNN performance scaled linearly with income and HDI index. 1/n
January 25, 2024 at 1:24 PM
See how people live at different income levels worldwide! 🌍

Explore Dollar Street by Gapminder: homes, resources & realities across the globe—eye-opening contrasts, especially in Africa.

🔗 Visit: www.gapminder.org/dollar-street

#DollarStreet #WebGems
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Dollar Street - photos as data to kill country stereotypes
Imagine the world as a street. Everyone lives on Dollar Street. The poorest to the left and the richest on the right. Every else live somewhere in between. Where would you live? Visit Dollar Street an...
www.gapminder.org
December 20, 2024 at 7:08 PM
I'm reminded of #DollarStreet, where you can see what it's like to live at various price points across the globe.

America is by that metric pretty dang rich
...which also makes it a shame to our nation
that our poor people are so badly off by other metrics.
www.gapminder.org/dollar-street
February 13, 2025 at 7:05 AM
Hier noch ein paar Fakten, Daten zu Reichtum und Armut, zu Politik von Regierungen vs. Verantwortung, Moral, Ethik, Mitgefühl, Spenden ...
Bei gapminder unter "DollarStreet" "einfach mal durchklicken" ... durch die weltweite Armut ... ... ... .
Bilder
www.gapminder.org/dollar-stree...
Dollar Street - photos as data to kill country stereotypes
Imagine the world as a street. Everyone lives on Dollar Street. The poorest to the left and the richest on the right. Every else live somewhere in between. Where would you live? Visit Dollar Street an...
www.gapminder.org
October 2, 2025 at 11:38 AM