Xecades/AerialExtreMatch-Benchmark

AerialExtreMatch — Benchmark Dataset

Code | Project Page | 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 and localization datasets.

Usage

Simply clone this repository and unzip the dataset files.

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:

.
└── class_[id] (class_0~class_31)
    ├── class_[id].npy
    ├── depth: *.exr
    └── rgb: *.jpg

• 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.