graviti logo产品公开数据集关于我们
登录
3.1K
1
133
Urban Object Detection
概要
讨论
代码
活动
4964cc4b-f7e1-4258-ab3f-41949d21aa0e
f3f2873·
Jun 29, 2021 3:53 PM
·4Commits
update catalog

Overview

We propose a new dataset that is used for benchmarking the accuracy of a real-time object detector (Faster R-CNN). Part of the data was collected using an HD camera mounted on a vehicle. Furthermore, some of the data is weakly annotated so it can be used for testing weakly supervised learning techniques. There already exist urban object datasets, but none of them include all the essential urban objects. We carried out extensive experiments demonstrating the effectiveness of the baseline approach. Additionally, we propose an R-CNN plus tracking technique to accelerate the process of real-time urban object detection.

Citation

@article{dominguez2018new,
  title={A new dataset and performance evaluation of a region-based cnn for urban object detection},
  author={Dominguez-Sanchez, Alex and Cazorla, Miguel and Orts-Escolano, Sergio},
  journal={Electronics},
  volume={7},
  number={11},
  pages={301},
  year={2018},
  publisher={Multidisciplinary Digital Publishing Institute}
}
数据预览
查看数据
🎉感谢Data Decorators的贡献
数据集信息
应用场景Autonomous Driving
标注类型Box2D
任务类型暂无
LicenseCustom
更新时间2021-03-24 23:30:24
数据概要
数据格式Image
数据数量106.92K
已标注数量108917
文件大小23GB
版权归属方
RoViT
标注方
未知
了解更多和支持
立即开始构建AI
免费开始联系我们