SyntheticGenV5 is a synthetic remote-sensing semantic segmentation dataset (from the paper
https://huggingface.co/papers/2602.04749) built for Urban–Rural domain-aware learning.
It keeps the original folder layout and uses Train/metadata.csv to connect each image with its semantic mask and RGB mask.
🌆 Two domains: Urban and Rural
🛰️ Designed for remote-sensing semantic segmentation
🧪 Useful for synthetic augmentation and domain… See the full description on the dataset page:
https://huggingface.co/datasets/buddhi19/SyntheticGenV5.
