GSWSeg4MM: a global solid waste segmentation dataset for multi-modal learning from VHR imagery across 264 cities
Chengxuan Zhao, Q. L. Feng, Shiying Yuan, Bowen Niu et autres
This study provides a Global Solid Waste Segmentation dataset for Multi-Modal learning from VHR satellite imagery, i.e., GSWSeg4MM, which contains about 103k multi-modal vison-language samples (i.e., about 20k positive samples and 83k negative samples) collected in 264 cities worldwide with a total …
hk, cn (code pays fourni par la source)