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MOT20/OpenDataLab___MOT20/README.md

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+# 数据集介绍
+  ## 简介
+  行人检测挑战。该基准包含 8 个具有挑战性的视频序列（4 个训练，4 个测试），在不受约束的环境中。跟踪和评估是在图像坐标中完成的。所有序列都经过高精度注释，严格遵循定义明确的协议。
+  ## 类定义
+  ```
+Pedestrian
+Non motorized vehicle
+Static person
+Occluder on the ground
+crowd
+```
+  ## 引文
+  ```
+@article{dendorfer2020mot20,
+  title={Mot20: A benchmark for multi object tracking in crowded scenes},
+  author={Dendorfer, Patrick and Rezatofighi, Hamid and Milan, Anton and Shi, Javen and Cremers, Daniel and Reid, Ian and Roth, Stefan and Schindler, Konrad and Leal-Taix{\'e}, Laura},
+  journal={arXiv preprint arXiv:2003.09003},
+  year={2020}
+}
+```
+  ‌​‌‌​​​​‌​​​‌‌‌‌‌​​‌‌​‌​‌​​‌​​​‌‌​‌‌‌​‌‌‌​​‌‌‌‌​‌​​​‌​‌‌‌​​‌‌‌‌​‌​‌‌​​‌‌‌​​‌‌‌‌​‌​​‌‌‌​‌

MOT20/OpenDataLab___MOT20/metafile.yaml

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+displayName: MOT20
+labelTypes:
+- Box2D
+license:
+- CC BY-NC-SA 3.0
+mediaTypes:
+- Video
+paperUrl: ""
+publishDate: "2020-02-29"
+publishUrl: https://motchallenge.net/data/MOT20/
+publisher:
+- ETH Zurich
+- Technical University of Munich
+- Australian Institute for Machine Learning
+- Amazon
+- University of Adelaide
+- Technical University of Darmstadt
+tags: []
+taskTypes:
+- Object Tracking
+‌​‌‌​​​​‌​​​‌‌‌‌‌​​‌‌​‌​‌​​‌​​​‌‌​‌‌‌​‌‌‌​​‌‌‌‌​‌​​​‌​‌‌‌​​‌‌‌‌​‌​‌‌​​‌‌‌​​‌‌‌‌​‌​​‌‌‌​‌