CORe50 Dataset is a dataset benchmark for continuous object recognition, mainly used to evaluate continuous recognition in object recognition environments, as well as baseline methods for three different continuous learning scenarios.

This dataset was released by the University of Bologna in 2017. The main publishers are Vincenzo Lomonaco and Davide Maltoni. The related paper is "CORe50: a new Dataset and Benchmark for continual Object Recognition".