---
license: cc-by-4.0
language:
- en
doi: https://doi.org/10.5281/zenodo.14185684
task_categories:
- object-detection
tags:
- MiddleEast
- CarDetection
- VehicleDetection
pretty_name: VME
size_categories:
- 10K<n<100K
---
- **Papers:**:
- [arXiv:2505.22353](https://arxiv.org/abs/2505.22353)
- [arXiv:2610.21482](https://arxiv.org/abs/2610.21482)


## VME Dataset

Vehicles in the Middle East (VME) is a satellite imagery dataset built for vehicle detection in the Middle East. 

[comment]: # "VME images and their associated annotations can be used for **academic purposes only**." 

VME images (**satellite_images** folder) are under [**CC BY-NC-ND 4.0 license**](https://creativecommons.org/licenses/by-nc-nd/4.0/) and available for download on [**Zenodo repository**](https://zenodo.org/records/14185684), we also release VME ground-truth annotations and the scripts associated for constructing CDSI **(annotations_HBB, annotations_OBB, CDSI_construction_scripts)** under [**CC BY 4.0 license**](https://creativecommons.org/licenses/by/4.0/) which are available on [**Zenodo repository**](https://zenodo.org/records/14185684) and here.

This repository consists of:
1. VME_annotations, which has:
   * 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. (**The VME images are available in the [**Zenodo repository**](https://zenodo.org/records/14185684)**)