# SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection
**Accepted by WACV 2024**
[[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Song_SyntheWorld_A_Large-Scale_Synthetic_Dataset_for_Land_Cover_Mapping_and_WACV_2024_paper.pdf), [supp](https://openaccess.thecvf.com/content/WACV2024/supplemental/Song_SyntheWorld_A_Large-Scale_WACV_2024_supplemental.pdf)] [[arXiv](https://arxiv.org/abs/2309.01907)]
## Overview
Synthetic datasets, recognized for their cost-effectiveness, play a pivotal role in advancing computer vision tasks and techniques. However, when it comes to remote sensing image processing, the creation of synthetic datasets becomes challenging due to the demand for larger-scale and more diverse 3D models. This complexity is compounded by the difficulties associated with real remote sensing datasets, including limited data acquisition and high annotation costs, which amplifies the need for high-quality synthetic alternat…
