Segmentation of solar filaments using GONG H-alpha observations was selected by the Institute of Electrical and Electronics Engineers (IEEE) for their (IEEE) Big Data Cup 2026 as one of six
Data Challenges at the Frontier of AI, Science & Society. The challenge is to produce pixel-precise segmentations of solar filaments in full-disk H-Alpha images — capturing fine structures (barbs), separating faint material from ground-based noise, and detecting each filament as one coherent object. Any method is welcome, from classical image processing to deep neural networks.
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