Charalambos Poullis

Topic

data leakage

A collection of 2 issues

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets

The paper “Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets” by Yeshwanth Kumar Adimoolam, Charalambos Poullis, and Melinos Averkiou will appear in IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2026. TL;DR: The AICrowd Mapping Challenge dataset is riddled with problems - ~90% duplicate training images

Data leakage and Duplication in Benchmark Dataset

In a recent comprehensive analysis, we have uncovered substantial data leakage, duplication, and annotation discrepancies in the popular CrowdAI Mapping Challenge benchmark dataset, which has been extensively utilized for developing semantic segmentation and footprint extraction algorithms of buildings from satellite imagery. This revelation may call into question the validity of