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Datasets:
Xecades
/
AerialExtreMatch-Train

Tasks:
Depth Estimation
Keypoint Detection
Image Feature Extraction
Modalities:
Image
Tags:
image
License:
Dataset card Files
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+ ---
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+ license: mit
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+ task_categories:
4
+ - depth-estimation
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+ - keypoint-detection
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+ - image-feature-extraction
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+ pretty_name: AerialExtreMatch Train
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+ viewer: false
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+ tags:
10
+ - image
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+ ---
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+ # AerialExtreMatch — Train Dataset
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+
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+ [Code](https://github.com/Xecades/AerialExtreMatch) | [Project Page](https://xecades.github.io/AerialExtreMatch/) | Paper (WIP)
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+
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+ This repo contains the **training** set for our paper *AerialExtreMatch: A Benchmark for Extreme-View Image Matching and Localization*. We also provide [**benchmark**](https://huggingface.co/datasets/Xecades/AerialExtreMatch-Benchmark) and [**localization**](https://huggingface.co/datasets/Xecades/AerialExtreMatch-Localization) datasets.
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+
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+ ## Usage
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+
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+ Simply clone this repository and unzip the dataset files.
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+
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+ ```bash
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+ git clone [email protected]:datasets/Xecades/AerialExtreMatch-Train
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+ cd AerialExtreMatch-Train
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+ unzip "*.zip"
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+ rm -rf *.zip
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+ rm -rf .git
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+ ```
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+
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+ ## Dataset Structure
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+
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+ After unpacking each .zip file:
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+
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+ <pre>
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+ .
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+ ├── scene_info: *.npz <i>(e.g. Tokyo3_100@-98@-185@67@[email protected])</i>
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+ └── [city_id] <i>(e.g. Tokyo3)</i>
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+ ├── computed_pairs.txt
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+ ├── overlap_5_30.txt
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+ ├── overlap_30_50.txt
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+ ├── overlap_50_plus.txt
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+ ├── query
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+ │ ├── intrinsic.txt <i>(see below)</i>
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+ │ ├── poses.txt <i>(see below)</i>
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+ │ ├── depth: *.exr
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+ │ └── rgb: *.jpg
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+ └── reference
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+ ├── intrinsic.txt <i>(see below)</i>
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+ ├── poses.txt <i>(see below)</i>
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+ ├── depth: *.exr
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+ └── rgb: *.jpg
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+ </pre>
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+
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+ - Keys of `.npz` files in `scene_info`: `['poses', 'intrinsics', 'depth', 'rgb', 'overlap', 'pair']`.
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+ - Format of `intrinsic.txt`: `name PINHOLE w h fx fy cx cy`.
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+ - Format of `poses.txt`: `name qw qx qy qz x y z`. (w2c)
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