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update dataset overview and ba...
91a5d95·
Feb 10, 2022 7:35 AM
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Overview

It is an unconstrained UAV benchmark focusing on complex scenarios with new level challenges.Selected from 10 hours raw videos, about 80, 000 represen-tative frames are fully annotated with bounding boxes as well as up to 14 kinds of attributes (e.g., weather condition, fying altitude, camera view, vehicle category, and occlusion) for three fundamental computer vision tasks: object detection, single object tracking, and multiple object tracking.

Citation

@inproceedings{tonsen2016labelled,
  title={Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained
environments},
  author={Tonsen, Marc and Zhang, Xucong and Sugano, Yusuke and Bulling, Andreas},
  booktitle={Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking
Research \& Applications},
  pages={139--142},
  year={2016}
}
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🎉Many thanks to Graviti Open Datasets for contributing the dataset
Basic Information
Application ScenariosUAV
AnnotationsBox2DClassification
TasksNot Available
LicenseUnknown
Updated on2022-02-10 07:35:50
Metadata
Data TypeVideo
Data Volume40,735
Annotation Amount40,735
File Size6.32GB
Copyright Owner
University of Chinese Academy of Sciences
Annotator
Unknown
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