| --- |
| license: mit |
| task_categories: |
| - depth-estimation |
| - keypoint-detection |
| - image-feature-extraction |
| pretty_name: AerialExtreMatch Benchmark |
| viewer: false |
| tags: |
| - image |
| --- |
| # AerialExtreMatch — Benchmark Dataset |
|
|
| [Code](https://github.com/Xecades/AerialExtreMatch) | [Project Page](https://xecades.github.io/AerialExtreMatch/) | [Paper](https://ieeexplore.ieee.org/document/11434521) |
|
|
| This 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. |
|
|
| ## Usage |
|
|
| Simply clone this repository and unzip the dataset files. |
|
|
| ```bash |
| git clone git@hf.co:datasets/Xecades/AerialExtreMatch-Benchmark |
| cd AerialExtreMatch-Benchmark |
| unzip "*.zip" |
| rm -rf *.zip |
| rm -rf .git |
| ``` |
|
|
| ## Dataset Structure |
|
|
| After unpacking each .zip file: |
|
|
| <pre> |
| . |
| └── class_[id] <i>(class_0~class_31)</i> |
| ├── class_[id].npy |
| ├── depth: *.exr |
| └── rgb: *.jpg |
| </pre> |
|
|
| - Keys of `class_[id].npy` files: `['poses', 'intrinsics', 'depth', 'rgb', 'overlap', 'pitch', 'scale', 'pair']`. |
|
|
| ## Classification Metric |
|
|
| Note 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`. |
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|  |
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|
