The Cube++ dataset is an extension of the Cube+ dataset, which is mainly used to estimate illumination and solve the color constancy problem. The dataset contains 4,890 images of different scenes under different conditions, 200 GB of raw data and preprocessed data. In order to calculate the ground truth illumination, the researchers placed a calibration object with a known surface color in each scene.

This dataset can be used to train and test single-light or dual-light estimation methods, which outperforms many existing similar datasets.