Test Guidelines The VisDrone data can be obtained from the download page. We provide the detail information on the download page. We encourage the participants to use the provided training data for each task, but also allow them to use additional training data. The use of additional training data must …
Overview We are pleased to announce the VisDrone2021 Object Detection in Images Challenge (Task 1). This competition is designed to push the state-of-the-art in object detection with drone platform forward. Teams are required to predict the bounding boxes of objects of ten predefined classes (i.e., pedestrian, person, car, van, bus, truck, motor, bicycle, awning-tricycle, and tricycle) with real-valued confidences. Some …
The VisDrone 2021 Challenge The VisDrone 2021 Challenge will be held on the ICCV 2021 workshop “Vision Meets Drone: A Challenge” (or VisDrone 2021, for short) in October 2021, in SEC, Montreal, Canada, for object detection, tracking and counting in visual data taken from drones. We invite researchers to participate …
The VisDrone 2020 Challenge The VisDrone 2020 Challenge will be held on the ECCV 2020 workshop “Vision Meets Drone: A Challenge” (or VisDrone 2020, for short) in October 2020, in SEC, Glasgow, for object detection, tracking and counting in visual data taken from drones. We invite researchers to participate in …
The VisDrone2020 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 …
Object Detection Single-Object Tracking Multi-Object Tracking Crowd Counting
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Drones, or general UAVs, equipped with cameras have been fast deployed to a wide range of applications, including agricultural, aerial photography, fast delivery, and surveillance. Consequently, automatic understanding of visual data collected from these platforms become highly demanding, which brings computer vision to drones more and more closely. We are …
