Indian Cities Change Detection (ICCD) Dataset

Indian Cities Change Detection (ICCD) Dataset is a curated high-resolution remote sensing dataset developed for semi-supervised building change detection. It consists of bi-temporal satellite image pairs (im1 and im2) and corresponding change masks (label) for ten Indian cities: Agra, Ambala, Amritsar, Jammu, Kanpur, Kannur, Kargil, Pune, Roorkee, and Sagar. The dataset captures diverse urban, semi-urban, and rural landscapes with temporal variations, including new building construction, demolitions, redevelopment, deforestation, water body changes, and seasonal vegetation transitions. It encompasses newly constructed buildings, demolished structures, and redeveloped sites where existing buildings have been replaced by new establishments.The dataset is organized city-wise, enabling evaluation and generalization across different urban domains. For each city, labeled and unlabeled data have been collected from 2020 to 2024, depending on availability. The labeled set contains im1, im2, and label folders, while the unlabeled set contains only im1 and im2. All images are in RGB format at 1024\u00d71024 resolution. Building changes are annotated in white (255, 255, 255), with unchanged areas in black (0, 0, 0).The ICCD dataset supports applications in:\u2022 Building change detection\u2022 Domain adaptation across diverse geographies\u2022 Semi-supervised learning with city-wise domain shiftsThis dataset provides a comprehensive, real-world benchmark to advance research in remote sensing, change detection, and domain adaptation.