VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Abstract
Object detection is a hot topic with various applications in computer vision, e.g. , image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of object detection benchmark datasets, including PASCAL VOC, ImageNet, and MS COCO. However, object detection on the drone platform is still a challenging task, due to various factors such as view point change, occlusion, and scales. To narrow the gap between current object detection performance and the real-world requirements, we organized the Vision Meets Drone (VisDrone2018) Object Detection in Image challenge in conjunction with the 15th European Conference on Computer Vision (ECCV 2018). Specifically, we release a large-scale drone-based dataset, including 8, 599 images (6, 471 for training, 548 for validation, and 1, 580 for testing) with rich annotations, including object bounding boxes, object categories, occlusion, truncation ratios, etc. Featuring a diverse real-world scenarios, the dataset was collected using various drone models, in different scenarios (across 14 different cities spanned over thousands of kilometres), and under various weather and lighting conditions. We mainly focus on ten object categories in object detection, i.e. , pedestrian, person, car, van, bus, truck, motor, bicycle, awning-tricycle, and tricycle. Some rarely occurring special vehicles ( e.g. , machineshop truck, forklift truck, and tanker) are ignored in evaluation. The dataset is extremely challenging due to various factors, including large scale and pose variations, occlusion, and clutter background. We present the evaluation protocol of the VisDrone-DET2018 challenge and the comparison results of 38 detectors on the released dataset, which are publicly available on the challenge website: http://www.aiskyeye.com/ . We expect the challenge to largely boost the research and development in object detection in images on drone platforms.
Cite
Text
Zhu et al. "VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11021-5_27Markdown
[Zhu et al. "VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/zhu2018eccvw-visdronedet2018/) doi:10.1007/978-3-030-11021-5_27BibTeX
@inproceedings{zhu2018eccvw-visdronedet2018,
title = {{VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results}},
author = {Zhu, Pengfei and Wen, Longyin and Du, Dawei and Bian, Xiao and Ling, Haibin and Hu, Qinghua and Nie, Qinqin and Cheng, Hao and Liu, Chenfeng and Liu, Xiaoyu and Ma, Wenya and Wu, Haotian and Wang, Lianjie and Schumann, Arne and Brown, Chase and Chen, Qian and Li, Chengzheng and Li, Dongdong and Michail, Emmanouil and Zhang, Fan and Ni, Feng and Zhu, Feng and Wang, Guanghui and Zhang, Haipeng and Deng, Han and Liu, Hao and Wang, Haoran and Qiu, Heqian and Qi, Honggang and Shi, Honghui and Li, Hongliang and Xu, Hongyu and Lin, Hu and Kompatsiaris, Ioannis and Cheng, Jian and Wang, Jianqiang and Yang, Jianxiu and Zhou, Jingkai and Zhao, Juanping and Joseph, K. J. and Duan, Kaiwen and Suresh, Karthik and Ke, Bo and Wang, Ke and Avgerinakis, Konstantinos and Sommer, Lars Wilko and Zhang, Lei and Yang, Li and Cheng, Lin and Ma, Lin and Lu, Liyu and Ding, Lu and Huang, Minyu and Vedurupaka, Naveen Kumar and Mamgain, Nehal and Bansal, Nitin and Acatay, Oliver and Giannakeris, Panagiotis and Wang, Qian and Zhao, Qijie and Huang, Qingming and Liu, Qiong and Cheng, Qishang and Sun, Qiuchen and Laganière, Robert and Jiang, Sheng and Wang, Shengjin and Wei, Shubo and Wang, Siwei and Vrochidis, Stefanos and Wang, Sujuan and Lee, Tiaojio and Sajid, Usman and Balasubramanian, Vineeth N. and Li, Wei and Zhang, Wei and Wu, Weikun and Ma, Wenchi and He, Wenrui and Yang, Wenzhe and Chen, Xiaoyu and Sun, Xin and Luo, Xinbin and Lian, Xintao and Li, Xiufang and Kuai, Yangliu and Li, Yali and Luo, Yi and Zhang, Yifan and Liu, Yiling and Li, Ying and Wang, Yong and Wang, Yongtao and Wu, Yuanwei and Fan, Yue and Wei, Yunchao and Zhang, Yuqin and Wang, Zexin and Wang, Zhangyang and Xia, Zhaoyue and Cui, Zhen and He, Zhenwei and Deng, Zhipeng and Guo, Zhiyao and Song, Zichen},
booktitle = {European Conference on Computer Vision Workshops},
year = {2018},
pages = {437-468},
doi = {10.1007/978-3-030-11021-5_27},
url = {https://mlanthology.org/eccvw/2018/zhu2018eccvw-visdronedet2018/}
}