Xecades/AerialExtreMatch-Benchmark

1---2license: mit3task_categories:4- depth-estimation5- keypoint-detection6- image-feature-extraction7pretty_name: AerialExtreMatch Benchmark8viewer: false9tags:10- image11---12# AerialExtreMatch — Benchmark Dataset13 14[Code](https://github.com/Xecades/AerialExtreMatch) | [Project Page](https://xecades.github.io/AerialExtreMatch/) | [Paper](https://ieeexplore.ieee.org/document/11434521)15 16This repo contains the **benchmark** set for our paper *AerialExtreMatch: A Benchmark for Extreme-View Image Matching and Localization*. 32 difficulty levels are included. We also provide [**train**](https://huggingface.co/datasets/Xecades/AerialExtreMatch-Train) and [**localization**](https://huggingface.co/datasets/Xecades/AerialExtreMatch-Localization) datasets.17 18## Usage19 20Simply clone this repository and unzip the dataset files.21 22```bash23git clone git@hf.co:datasets/Xecades/AerialExtreMatch-Benchmark24cd AerialExtreMatch-Benchmark25unzip "*.zip"26rm -rf *.zip27rm -rf .git28```29 30## Dataset Structure31 32After unpacking each .zip file:33 34<pre>35.36└── class_[id] <i>(class_0~class_31)</i>37    ├── class_[id].npy38    ├── depth: *.exr39    └── rgb: *.jpg40</pre>41 42 - Keys of `class_[id].npy` files: `['poses', 'intrinsics', 'depth', 'rgb', 'overlap', 'pitch', 'scale', 'pair']`.43 44## Classification Metric45 46Note that the actual folders are 0-indexed, but the table below is 1-indexed for consistency with the paper, i.e. level 5 corresponds to `class_4`.47 48![Classification Metric](metric.png)49