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We introduce an interactive image segmentation and visualization frameworkfor identifying, inspecting, and editing tiny objects (just a few pixels wide)in large multi-megapixel high-dynamic-range (HDR) images. Detecting cosmic rays(CRs) in astronomical observations is a cumbersome workflow that requiresmultiple tools, so we developed an interactive toolkit that unifies modelinference, HDR image visualization, segmentation mask inspection and editinginto a single graphical user interface. The feature set, initially designed forastronomical data, makes this work a useful research-supporting tool forhuman-in-the-loop tiny-object segmentation in scientific areas likebiomedicine, materials science, remote sensing, etc., as well as computervision. Our interface features mouse-controlled, synchronized, dual-windowvisualization of the image and the segmentation mask, a critical feature forlocating tiny objects in multi-megapixel images. The browser-based tool can bereadily hosted on the web to provide multi-user access and GPU acceleration forany device. The toolkit can also be used as a high-precision annotation tool,or adapted as the frontend for an interactive machine learning framework. Ouropen-source dataset, CR detection model, and visualization toolkit areavailable at https://github.com/cy-xu/cosmic-conn.

Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images