Traffic surveillance video dataset download Jul 12, 2023 · These include data from one 4-way and two 3-way intersections, and more than 800 minutes of video per data set. - A. The dataset The Bellevue Traffic Video Dataset consists of approximately 101 hours of 1280x720 30Hz videos taken from five traffic intersections in the City of Bellevue, Washington. GRAM Road-Traffic Monitoring Introduction Here we release the GRAM Road-Traffic Monitoring (GRAM-RTM) dataset, a novel benchmark for multi-vehicle tracking in real-time. Jul 22, 2024 · WTS is a novel pedestrian-centric traffic video dataset featuring 255 255 255 traffic scenarios, including staged pedestrian-related accidents across 1. We introduce a novel dataset consisting of approximately 5,700 video files, specifically designed to enhance the development of real-time traffic accident detection systems in smart city environments. py and . GTS offers a globally sourced Video Data collection tailored for machine learning, encompassing CCTV footages, traffic videos, and surveillance recordings. We collected a dataset of real accident videos from the CCTV surveillance network of Hyderabad City in India. The TACS (Traffic Analysis on Calibrated Streams) dataset aims to remove this barrier by annotating sig-nificant traffic information on realistic traffic surveillance video. The TVC dataset contains 2,000 traffic videos captured with on-board cameras. Includes our CityStreet dataset, as well as the counting and metadata for multi-view counting on PETS2009 and DukeMTMC. No onboard data. This dataset is collected from different surveillance cameras video footage. Leveraging our advanced Video Dataset Collection Tool, we ensure precision in both collection and annotation, positioning your models with top-tier datasets for unparalleled performance. Download now for advanced AI research in transportation and road safety Instance-level annotations of road users in RGB and thermal video Abstract We present a novel dataset for traffic accidents analysis. Designed for traffic monitoring and safety research, the dataset supports tasks like vehicle detection, traffic flow analysis, and accident prediction. 14-2379. Files: download page Project page If you use this dataset please cite: Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs. Vision-based detection of road accidents using traffic surveillance video is a highly desirable but challenging task. However, the unavailability of benchmark dataset of real traffic videos is the major bottleneck in doing research. Ardo, J. Svensson, L. It contains an extensive collection of 128 hours of video footage, captured from real-world surveillance cameras, offering a robust and diverse dataset for training AI models in detecting and recognizing abnormal activities in public spaces. It encompasses a diverse range of traffic scenarios, captured through Traffic/Surveillance Cameras (Trafficam) and Dash Cameras (Dashcam), along with additional external data sources. In Transportation Research Board Annual Meeting Compendium of Papers, 2014. The VIRAT Video Dataset contains two broad categories of activities (single-object and two-objects) which involve both human and vehicles. Laureshyn, M. For details, see the README in this directory. The dataset is available for download from Kaggle. Special interest on intersection surveillance. The dataset contains congested and uncongested traffic scenes with their respective labels. Jodoin, A. Download scientific diagram | Examples of UCSD dataset. TAD: A Large-scale benchmark for traffic accidents detection from video surveillance. Thousands of new 4k videos every day Completely Free to Use High-quality HD videos and clips from Pexels The Multi-view Traffic Intersection Dataset (MTID) is a traffic surveillance dataset containing footage of the same intersection from multiple points of view. Public video data set for road transportation applications. Saunier, H. Just download this video and use it!To downlaod 4k video you can use youtube-dl or one of these really bad websitesyoutube-dl -f 313 MNn9qKG2UFIIf you lik About This is the project page for veri dataset which is a large scale image dataset for vehicle re-identification in urban traffic surveillance. 2k 1. 2 italic_k video segments. from publication: Grassmann Manifold Based State Analysis Method of Traffic Surveillance Video | For a contemporary intelligent transport For the video understanding and captioning problem, we build a dataset for ADAS traffic scenarios, called Traffic Video Captioning (TVC) dataset. Contribute to xiaobai1217/Awesome-Video-Datasets development by creating an account on GitHub. The MIT Traffic dataset [2] is an example of the recent efforts to build more realistic ur-ban traffic surveillance video datasets for research on pedes-trian detection and activity analysis. By leveraging this dataset Thus this dataset can be used to evaluate world coordinate tracking methods designed for use on road users seen in surveillance cameras, of the kind that is of importance for traffic safety researchers. Generally, anomalous events rarely occur as compared to normal activities. Our Car Accident Detection and Prediction~ (CADP) dataset consists of 1,416 video segments collected from YouTube, with 205 video segments have full spatio-temporal annotations. Through Access to high-quality traffic data is essential for developing and evaluating transportation models, traffic prediction algorithms, and intelligent transportation systems. Most images feature occlusion. Details of included activities, and annotation formats may differ per release. By leveraging traffic flow data, traffic control bureaus could provide drivers with real-time alerts, advising the fastest routes and therefore optimising transportation logistics and reducing congestion. The increase in the number of motorcyclists using helmets causes a decrease in the number of accidents with victims. Fernando Miranda-Moreno, G. ipynb codes for how we generate the trajectory dataset based on visual embedded traffic camera records, evaluate the vehicle Re-ID and trajectory recovery metrics, and report statistical characteristic. Improve Highway Traffic Videos Dataset analysis dataset. Download and use 26,350+ Traffic stock videos for free. Dataset for Highway Traffic Analysis through CCTV captured footage. TU-DAT addresses the lack of public datasets for training and evaluating models focused on automatic detection and prediction of road anomalies. Our dataset is specifically designed for the surveillance domain, featuring the longest average word count per sentence. Problem & Motivation One critical task in video surveillance is detecting anomalous events such as traffic accidents, crimes or illegal activities. tion, tracking, vehicle collision, accident detection and predic-tion. For more information, see the paper. Download scientific diagram | Some example images in our urban traffic surveillance video dataset (UTSD) from publication: Occlusion-Aware Detection for Internet of Vehicles in Urban Traffic Jan 7, 2024 · Through the collection and classification of data from Traffic/Surveillance cameras and Dash camera videos, we curated a robust dataset that diversifies the range of accident scenarios and also enriches the field of accident detection research. All videos were captured in September 2017 from real traffic cameras mounted on poles. Nov 2, 2020 · The main aim of this dataset is to enable detection of traffic congestion from surveillance cameras using one-stage object detectors. The first video, called M-30 (7520 frames), has been recorded in a sunny day with a Nikon Coolpix L20 camera, with Oct 31, 2023 · Highway Traffic Videos Dataset Analysis: A Comprehensive Guide Introduction In today's data-driven world, video data, especially from traffic cameras, provides a wealth of information that can be … Traffic Videos Collection for vechicle detectionSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Apr 21, 2025 · This paper introduces TU-DAT, a novel, freely downloadable computer vision dataset for analyzing traffic accidents using roadside cameras. . We collect live video from the Virginia Department of Transportation and perform accurate camera calibration. Our aim is to resolve the lack of public data for research about automatic spatio-temporal annotations for traffic safety in the roads. The dataset has been made available for research purposes in areas including but not limited to machine learning and traffic engineering. It consists of 3 challenging video sequences, recorded under different conditions and with different platforms. This dataset Datasets for multi-view crowd counting in wide-area scenes. Video datasets. Our dataset contains 230 videos, each video contain-ing at least one accident captured fr m fixed traffic cam-era views and 1,416 segments of traffic accidents. File Description code All the . They contain trajectories, raw video material, and extensive metadata encompassing 100 variables for each video such as current road surface temperature or road conditions. The dataset Traffic Dataset - 500 Videos Dataset comprises 500 videos of urban traffic captured by surveillance cameras, providing real-time traffic data enriched with bounding box annotations for vehicles and pedestrians. Traffic in all views has been carefully annotated to pixel-level accuracy. Feb 1, 2025 · Abstract Traffic flow analysis is revolutionising traffic management. 2014 - Lund University/McGill University/Polytechnique Montréal - Single/multicamera Reference: N. The existing traffic flow datasets have two major limitations. There is a need for increased enforcement of traffic laws, particularly for offenses without automatic detection methods. This work is to improve surveillance on the main roads in locations where the use of helmets is mandatory. Nilsson, A. Cars video object tracking is a computer vision task that involves the automated detection and continuous tracking of cars in video footage. Dataset Description Comparative Analysis with Other Video Datasets The following table provides a statistical comparison between the UCA dataset and other traditional video datasets in multimodal learning tasks. Mar 2, 2024 · The MIT Traffic dataset [2] is an example of the recent efforts to build more realistic urban traffic surveillance video datasets for research on pedestrian detection and activity analysis. -P. More-over, we selected 205 segments with HD quality to annotate spatio Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. 2 𝑘 1. This repository serves as a centralized resource for our proprietary datasets, offering: Curated access to our diverse traffic datasets Standardized descriptions and metadata Information on data formats and structures Usage Set of video-based and multimodal traffic surveillance datasets. The UCF-Crime Dataset is one of the largest publicly available datasets designed for anomaly detection in video surveillance systems. This technology is essential for a wide range of applications, including traffic monitoring, autonomous driving, surveillance, and video analysis. Aug 16, 2022 · The Traffic and Congestions (TRANCOS) dataset contains pictures of vehicles on highways captured by surveillance cameras and contains a total of 1,244 images. Gain access to a traffic CCTV video dataset designed for analyzing road conditions, traffic patterns, and enhancing AI-based systems for better urban planning. Dec 28, 2023 · We introduce a novel dataset consisting of approximately 5,700 video files, specifically designed to enhance the development of real-time traffic accident detection systems in smart city environments. Real-Time Traffic Video Dataset provides extensive video streams from urban and highway traffic cameras, supporting traffic monitoring and traffic management initiatives. ucm2n d3m1x hhj8 vxgcl q6p lmba6u sca j5nbu l8bf9 ze