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README.md
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Dataset for <b>AMOD-V1.0</b>
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### What is AMOD?
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* Here, `AMOD` refers to our large-scale synthetic dataset, <u>A</u>rma3 <u>M</u>ilitary <u>O</u>bject <u>D</u>etection!
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* Our **AMOD-V1.0** involves various images and corresponding labels (including oriented bounding boxes) for military object detection in aerial imagery. Each region is captured from six different viewpoints (Look angles: 0°, 10°, 20°, 30°, 40°, 50°).
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Dataset for <b>AMOD-V1.0</b>
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</h3>
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<p align="center">
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<a href="#"><img alt="ARMA3" src="https://img.shields.io/badge/Game-ARMA3-green?logo=steam"></a>
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</p>
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<p align="center">
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Correspondence to
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<a href="mailto:yechankim@gm.gist.ac.kr">Yechan Kim</a>,
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<a href="mailto:citizen135@gm.gist.ac.kr">JongHyun Park</a>, and
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<a href="mailto:bluesooyeon@gm.gist.ac.kr">SooYeon Kim</a>
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</p>
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### What is AMOD?
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* Here, `AMOD` refers to our large-scale synthetic dataset, <u>A</u>rma3 <u>M</u>ilitary <u>O</u>bject <u>D</u>etection!
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* Our **AMOD-V1.0** involves various images and corresponding labels (including oriented bounding boxes) for military object detection in aerial imagery. Each region is captured from six different viewpoints (Look angles: 0°, 10°, 20°, 30°, 40°, 50°).
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