Traffic congestion Dataset

The main aim of this dataset is to enable detection of traffic congestion from surveillance cameras using one-stage object detectors. The dataset contains congested and uncongested traffic scenes with their respective labels. This dataset is collected from different surveillance cameras video footage. To prepare the dataset frames are extracted from video sources and resized to a dimension of 500 x 500 with .jpg image format. To Annotate, the image LabelImg software has used. The format of the label is .txt with the same name as the image. The dataset is mainly prepared for YOLO Models but it can be converted to other models format.

搜集汇总

背景与挑战

背景概述

该数据集包含从监控摄像头视频中提取的交通拥堵和非拥堵场景图像，图像尺寸为500x500，标注格式为.txt，主要用于训练YOLO模型进行交通拥堵检测。