datasets

AU_AIR/README.md

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+# 数据集介绍
+  ## 简介
+  AU-AIR是无人机捕获的多模式航空数据集。具有视觉数据，对象注释和飞行数据 (时间，GPS，高度，IMU传感器数据，速度)，AU-AIR满足了无人机的视觉和机器人技术。
+  ## 引文
+  ```
+@article{vujasinovic2020integration,
+  title={Integration of the 3D Environment for UAV Onboard Visual Object Tracking},
+  author={Vujasinovi{\'c}, St{\'e}phane and Becker, Stefan and Breuer, Timo and Bullinger, Sebastian and Scherer-Negenborn, Norbert and Arens, Michael},
+  journal={Applied Sciences},
+  volume={10},
+  number={21},
+  pages={7622},
+  year={2020},
+  publisher={MDPI}
+}
+```
+  ‌​‌‌​​​​‌​​​‌‌‌‌‌​​‌‌​‌​‌​​‌​​​‌‌​‌‌‌​‌‌‌​​‌‌‌‌​‌​​​‌​‌‌‌​​‌‌‌‌​‌​‌‌​​‌‌‌​​‌‌‌‌​‌​​‌‌‌​‌

AU_AIR/dsdl/README.md

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+# Data Set Description Language(DSDL) for AU-AIR dataset
+
+## Data Structure
+Please make sure the folder structure of prepared dataset is organized as followed:
+
+```
+<dataset_root>
+├── images
+│   ├── frame_20190829091111_x_0000156.jpg
+│   ├── frame_20190829091111_x_0000157.jpg
+│   ├── frame_20190829091111_x_0000158.jpg
+│   ├── frame_20190829091111_x_0000159.jpg
+│   ├── frame_20190829091111_x_0000160.jpg
+│   └── ...
+└── annotations.json
+```
+
+The folder structure of dsdl annotation for Object Detection is organized as followed:
+
+```
+<dsdl_root>
+├── defs
+│   ├── class-dom.yaml
+│   └── object-detection-def.yaml
+├── set-default
+│   ├── default.yaml
+│   └── default_samples.json
+├── README.md
+└── config.py
+```
+
+## config.py
+You can load your dataset from local or oss.
+From local:
+
+```
+local = dict(
+    type="LocalFileReader",
+    working_dir="the root path of the prepared dataset",
+)
+```
+
+Please change the 'working_dir' to the path of your prepared dataset where media data can be found,
+for example: "<root>/dataset_name/prepared".
+
+From oss:
+
+```
+ali_oss = dict(
+    type="AliOSSFileReader",
+    access_key_secret="your secret key of aliyun oss",
+    endpoint="your endpoint of aliyun oss",
+    access_key_id="your access key of aliyun oss",
+    bucket_name="your bucket name of aliyun oss",
+    working_dir="the prefix of the prepared dataset within the bucket")
+```
+
+Please change the 'access_key_secret', 'endpoint', 'access_key_id', 'bucket_name' and 'working_dir',
+e.g. if the full path of your prepared dataset is "oss://bucket_name/dataset_name/prepared", then the working_dir should be "dataset_name/prepared".
+
+## Related source:
+1. Get more information about DSDL: [dsdl-docs](https://opendatalab.github.io/dsdl-docs/)
+2. DSDL-SDK official repo: [dsdl-sdk](https://github.com/opendatalab/dsdl-sdk/)
+3. Get more dataset: [OpenDataLab](https://opendatalab.com/)

AU_AIR/metafile.yaml

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+displayName: AU-AIR
+labelTypes: []
+license:
+- CC BY 4.0
+mediaTypes:
+- Image
+paperUrl: https://arxiv.org/pdf/2008.02834v3.pdf
+publishDate: "2020"
+publishUrl: https://bozcani.github.io/auairdataset
+publisher:
+- Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
+tags:
+- Unmanned Aerial Vehicle
+taskTypes:
+- Visual Object Tracking
+- Object Tracking
+‌​‌‌​​​​‌​​​‌‌‌‌‌​​‌‌​‌​‌​​‌​​​‌‌​‌‌‌​‌‌‌​​‌‌‌‌​‌​​​‌​‌‌‌​​‌‌‌‌​‌​‌‌​​‌‌‌​​‌‌‌‌​‌​​‌‌‌​‌