Bangladeshi Traffic Flow Dataset

In Bangladesh, general public compliance with traffic regulations is notably low. This dataset aims to analyze the traffic flow patterns in Dhaka, focusing on both vehicular movement and pedestrian activities. Data were gathered from four different locations: Shapla Chattar, Arambag, Bashabo, and Abul Hotel. Video recordings were taken from footover bridges, capturing traffic scenarios involving single-lane and double-lane roads, as well as the erratic movement of pedestrians. A total of 23,678 images were extracted from these recordings, which were collected during five distinct time intervals on a weekday, and subsequently annotated using the Roboflow tool. This dataset offers a detailed perspective on Dhaka’s unstructured traffic systems, highlighting various road conditions and heavy traffic environments. Its applications include vehicle fitness monitoring, pedestrian behavior analysis, and traffic flow assessment under diverse environmental conditions, such as daylight, dusk, night, and rain. Additionally, this dataset presents opportunities for researchers to explore and apply machine learning techniques to complex, real-world traffic scenarios. Readme file contains folder hierarchy of our dataset.