buddhi19/SyntheticGenV5

SyntheticGenV5 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. Why use this dataset? 🌆 Two domains: Urban and Rural 🛰️ Designed for remote-sensing semantic segmentation 🧪 Useful for synthetic augmentation and… See the full description on the dataset page: https://huggingface.co/datasets/buddhi19/SyntheticGenV5.