A dataset of semantic segmentation in earthquake disaster detection based on social media images

Database (Set) Name: Semantic Segmentation Dataset for Earthquake Disaster Detection Based on Social Media Images Data time range: 2020-2022 Image resolution: 512 × 512 pixels Data volume 576 MB Data format *. jpg, *. png Dataset composition: This dataset consists of two data files, where: (I) "origin" refers to the collected social media earthquake disaster images and corresponding annotation information. It includes two subfolders, "input" and "target", which are the original images and annotation images, respectively. Each folder contains 1000 images; (2) 'Augmented' is the enhanced image data, which includes two subfolders' input 'and' target ', namely enhanced images and annotated images. Each folder contains 10000 images.