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Version du 15 décembre 2020 à 18:11
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CoCo Dataset
The Common Objects in Context (COCO) dataset is one of the most popular open source object recognition databases used to train deep learning programs. This database includes hundreds of thousands of images with millions of already labeled objects for training.
Arguably the most important element of supervised machine learning is access to a large and well documented dataset to learn from. Sponsored by Microsoft, COCO segments images into categories and object, while also providing machine-readable context captions and tags. This all drastically cuts down on the basic training time for any AI that needs to process images.
Contributeurs: Claire Gorjux, Jean Benoît Morel, wiki
