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Training Image Segmentation Systems

by Morgan Stevens

Meta has created a dataset to train AI systems to identify which pixels in an image represent an individual object. The dataset contains over 1.1 billion masks, or annotations distinguishing objects, in 11 million images. According to the company, the dataset is the largest image segmentation dataset ever created and contains more than 400 times more masks than any existing segmentation dataset.

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Image credit: Flickr user Christiaan Colen

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