InstaCities1M
Introduced by Gomez et al. in Learning to Learn from Web Data through Deep Semantic Embeddings
InstaCities1M is a dataset of social media images with associated text. It consists of Instagram images associated associated with one of the 10 most populated English speaking cities all over the world. It has 100K images for each city, which makes a total of 1M images, split in 800K training images, 50K validation images and 150K testing images. All images were resized to 300x300 pixels.
Source: The InstaCities1M DatasetPapers
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