This repository has VME dataset (images and annotations files). Also, it has the script for constructing CDSI dataset. VME is a satellite imagery dataset built for vehicle detection in the Middle East. VME images (satellite_images folder) are under CC BY-NC-ND 4.0 license, whereas the rest of folders (annotations_HBB, annotations_OBB, CDSI_construction_scripts) are under CC BY 4.0 license. VME_CDSI_datasets.zip has four components: annotations_OBB: It holds TXT files in YOLO format with Oriented Bounding Box (OBB) annotations. Each annotation file is named after the corresponding image name annotations_HBB: This component contains HBB annotation files in JSON file formatted in MS-COCO format defined by four values in pixels (x_min, y_min, width, height) of training, validation, and test splits satellite_images: This folder consists of VME images of size 512x512 in PNG format CDSI_construction_scripts: This directory comprises all instructions needed to build the CDSI dataset in detail: a) instructions for downloading each dataset from its repository, b) The conversion to MS-COCO format script for each dataset is under the dataset name folder, c) The combination instructions. The training, validation, and test splits are available under "CDSI_construction_scripts/data_utils" folder. annotations_HBB, annotations_OBB, CDSI_construction_scripts, are available in our GitHub repository Please cite our dataset & paper with the preferred format as shown in the "Citation" section @article{al-emadi_vme_2025, title = {{VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond}}, volume = {12}, issn = {2052-4463}, url = {https://doi.org/10.1038/s41597-025-04567-y}, doi = {10.1038/s41597-025-04567-y}, pages = {500}, number = {1}, journal = {Scientific Data}, author = {Al-Emadi, Noora and Weber, Ingmar and Yang, Yin and Ofli, Ferda}, date = {2025-03-25}, publisher={Spring Nature}, year={2025} }