Constellation

Constellation数据集是由哥伦比亚大学创建，包含13,314张高海拔摄像头捕捉的纽约市交通路口图像。该数据集旨在支持城市环境中高海拔物体检测的研究，特别是针对小物体如行人的检测。数据集内容丰富，涵盖多种天气和光照条件，以及不同的时间段和背景变化。创建过程中，图像经过人工标注，包括行人和车辆的边界框。该数据集的应用领域包括智能交通监控和提升行人安全，旨在解决城市交通路口的复杂检测问题。

The Constellation Dataset was curated by Columbia University, comprising 13,314 images of traffic intersections across New York City captured by high-altitude cameras. This dataset is designed to support research on high-altitude object detection in urban environments, with a particular focus on detecting small-scale objects such as pedestrians. The dataset encompasses diverse scenarios, including various weather conditions, lighting conditions, different time periods, and background variations. All images were manually annotated with bounding boxes for pedestrians and vehicles during the dataset's development. The Constellation Dataset has applications in intelligent traffic monitoring and pedestrian safety enhancement, and it aims to address the complex object detection challenges at urban traffic intersections.