Abstract: We introduce the S-EO dataset: a large-scale, highresolution dataset, designed to advance geometry-aware shadow detection. Collected from diverse public-domain sources, including challenge ...

Official code of the paper "MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments" accepted at CVPR 2025. Operating rooms (ORs) are ...

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

Abstract: This letter introduces multitask learning for agricultural field extraction (MT4AFE), a new large-scale dataset dedicated to the semantic segmentation of agricultural fields. MT4AFE consists ...