配备摄像头的无人机或通用无人机已被迅速地部署到广阔的应用场景中，包括农业遥感、航空摄影、快捷支付和监控摄像。 由于场景的复杂性，对从这些平台收集的视觉数据进行智能感知变得非常困难，这使得无人机与计算机视觉的联系越来越紧密。VisDrone 很高兴能够服务各种重要的计算机视觉任务，提供一个带有经过精确注释的Gound Truth的大规模基准测试，以使视觉与无人机携手共进。
The VisDrone2021 dataset is collected by the AISKYEYE team at Lab of Machine Learning and Data Mining , Tianjin University, China. The benchmark dataset consists of 400 video clips formed by 265,228 frames and 10,209 static images, captured by various drone-mounted cameras, covering a wide range of aspects including location (taken from 14 different cities separated by thousands of kilometers in China), environment (urban and country), objects (pedestrian, vehicles, bicycles, etc.), and density (sparse and crowded scenes). Note that, the dataset was collected using various drone platforms (i.e., drones with different models), in different scenarios, and under various weather and lighting conditions. These frames are manually annotated with more than 2.6 million bounding boxes or points of targets of frequent interests, such as pedestrians, cars, bicycles, and tricycles. Some important attributes including scene visibility, object class and occlusion, are also provided for better data utilization.
News
- ICCV2021 Workshop: Vision Meets Drones 2021: A Challenge Zoom link.
- Paper submission system is available now .The deadline for workshop paper is August 7 2021, AOE time.
- The deadline for the competition is 24:00 on July 15th 2021, AOE time
- VisDrone 2021 will be organized in conjunction with ICCV 2021.
- Aug. 28, 2020: Computer Vision for UAVs Workshop and Challenge will be held at 8:00 (UTC+1) on August 28.
- July. 14, 2020: Evaluation server will be closed at 23:59 on July 15 (UTC+0 time).
- July. 9, 2020: Paper submission system is available now. Paper submission deadline is delayed until July 15th.
- June. 26, 2020: Due to the impact of COVID-19, the submission deadline is delayed until July 15th. Each team will have additional 5 submission opportunities.
Citation
Zhu P, Wen L, Du D, et al. Detection and Tracking Meet Drones Challenge[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2021 (01): 1-1. Bibtex source | Abstract | PDF