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Dollar Street Supplementary Information [FINAL]

Neural Information Processing Systems

The original questions are in bold . The subtext to each question is in italics. The answers are in plain text with no formatting. The questions in this section are primarily intended to encourage dataset creators to clearly articulate their reasons for creating the dataset and to promote transparency about funding interests. For what purpose was the dataset created? Was there a specific task in mind? Was there a specific gap that needed to be filled? The Dollar Street dataset is a supervised image dataset derived from Gapminder's Dollar Street project ( https://www.gapminder.org/dollar-street) that contains everyday household items from homes around the world. It was created with three goals in mind: 1. Make available a highly curated set of images with valuable metadata (e.g. Our evaluation results show that the Dollar Street dataset can add significant value to accuracy improvements when considering computer vision images that represent the geographic and socioeconomic diversity of the world. Concretely, this means that the dataset only contains CC-BY-licensed works.