2 datasets found

The dataset used in the paper is a large-scale dataset containing 1,000 text prompts and over 5,000 images associated with image captions, local descriptions, and mask annotations.

The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.