Update README.md

README.md

@@ -9,6 +9,37 @@ viewer: false
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 - image
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-# AerialExtreMatch: Benchmark Dataset
+# AerialExtreMatch — Benchmark Dataset
 
-WIP.
+[Code](https://github.com/Xecades/AerialExtreMatch) | Project Page (WIP) | Paper (WIP)
+
+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.
+
+> WARNING: working in progress.
+
+## 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"
+```
+
+TODO: provide a python example.
+
+## 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']`.
+ - Refer to original paper for details on classification.