Pedestrian Detection Dataset

Pedestrian Detection dataset addresses the challenge of false positives in person detection, a critical subfield of object detection essential for applications like person tracking, intelligent surveillance systems, and autonomous vehicles. consists of 944 train images, 160 val images, and 235 test images, with a total of 1626 person and 1368 person-like labelling.

行人检测数据集旨在解决人检测中的误报问题，这是物体检测领域一个至关重要的子领域，对于人员追踪、智能监控系统以及自动驾驶车辆等应用至关重要。该数据集包含944张训练图像、160张验证图像和235张测试图像，总计标注了1626个行人和1368个类似人形的标签。