Naga Venkata Sai Jitin Jami

Stratify or Die: Rethinking Data Splits in Image Segmentation

Random splitting of datasets in image segmentation often leads to unrepresentative test sets, resulting in biased evaluations and poor model generalization. While stratified sampling has proven effective for addressing label distribution imbalance in classification tasks, extending these ideas to se…