TAMMs

TAMMs: Change Understanding and Forecasting in Satellite Image Time Series with a Temporal-Aware Multimodal Model 📄 Paper (ICLR 2026) TAMMs is a large-scale dataset derived from the Functional Map of the World (fMoW) dataset, curated to support multimodal and temporal reasoning tasks such as change detection and future prediction. Dataset Summary This dataset contains 37,003 high-quality temporal sequences, each consisting of at least four distinct… See the full description on the dataset page:

Source: Hugging Face Hub (IceInPot/TAMMs). Metadata imported from the dataset’s Hub tags.