René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Access to High-Resolution Ground Truth Datasets (Ascidian, Filament, Nuclei, Human)","articleBody":"Thank you for your impressive work on ZAugNet/ZAugNet+. We found the methodology of using knowledge distillation for self-supervised axial augmentation highly innovative in axial super-resolution task.\n\nWe are currently conducting a comprehensive benchmark of several axial super-resolution methods. While your repository provides excellent code and some sample data in zenodo, we are having difficulty locating the High-Resolution (HR) ground truth datasets used for the quantitative results in your paper (specifically the Ascidian embryo, Filament, Nuclei, and Human datasets).\n\nTo ensure a fair and rigorous comparison, we would like to request access to:\n\nThe high-resolution versions of the Ascidian embryo dataset.\n\nThe HR ground truth for the synthetic Filament, Nuclei, and Human datasets used in your benchmarking.\n\nIf these datasets are already hosted publicly elsewhere, could you please point us to the correct repository or download link? If they are not yet public, do you have plans to release them, or would you be open to sharing them for research comparison purposes?\n\nHaving access to these standardized HR volumes is crucial for the bio-imaging community to maintain a consistent benchmarking standard for new axial enhancement algorithms.\n\nThank you for your time and for your contribution to the field!","author":{"url":"https://github.com/hmzawz2","@type":"Person","name":"hmzawz2"},"datePublished":"2026-02-05T07:36:54.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":0},"url":"https://github.com/4/ZAugNet/issues/4"}