Larrivhan/

KidNet-dataset

KidNet is a curated hematoxylin and eosin (H&E) kidney pathology image dataset for renal injury recognition. Each sample contains one microscopy image and one LabelMe annotation file with polygon-level labels for renal tubules and related pathological structures. The dataset was built for small-sample renal injury modeling, especially:

pixel-level segmentation of injury_tubules tile-level injury classification weakly supervised heatmap… See the full description on the dataset page: https://huggingface.co/datasets/Larrivhan/KidNet-dataset.