Swarming Morphogenesis Evolution (SwarmEvo) Forecasting the evolution of bacterial swarming colonies is a challenging task. Unlike conventional natural scenes, swarming expansion is governed by the propagation of irregular, anisotropic morphological fronts rather than by appearance continuity or pixel level motion. These fronts undergo rapid reorganization, fingering instabilities, and curvature driven growth, making standard image or video based prediction models fundamentally inadequate. Addressing this problem requires a dataset that resolves colony geometry with high fidelity and preserves its temporal evolution at the level of boundary morphology, enabling predictive rather than purely descriptive analysis. Swarming Morphogenesis Evolution (SwarmEvo) is a curated dataset designed for studying the spatial segmentation and temporal prediction of bacterial swarming colony morphogenesis. All data are derived from in house experimental cultivation of Enterobacter sp. SM3 and are annotated and organized to support both instance level segmentation and morphological forecasting . The dataset is used throughout the accompanying paper From Shape to Fate: Making Bacterial Swarming Expans…
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