Datasetpublic

Xecades/AerialExtreMatch-Benchmark

AerialExtreMatch — Benchmark Dataset Code | Project Page | Paper 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… See the full description on the dataset page: https://huggingface.co/datasets/Xecades/AerialExtreMatch-Benchmark.

sourceHugging Facemitupdated 6mo agoView on Hugging Face

0likes233downloads

Dataset Card

AerialExtreMatch — Benchmark Dataset

Code | Project Page | Paper

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.

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>(class0~class31)</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.

[image]