Road surveillance video dataset. For more information, see the paper.

Road surveillance video dataset For more information, see the paper. Dec 28, 2023 · This dataset is tailored for training and evaluating AI models in traffic accident detection within smart city environments. Special interest on intersection surveillance. Traffic in all views has been carefully annotated to pixel-level accuracy. Annotation Guideline for Spatio Temporal Location Annotation Tasks Note: By downloading this dataset you agree to use this dataset for non-commercial and research based purposes and prior permission is required to be sought of authors for other use. The dataset is available for download from Kaggle. All the vehicles in the GRAM-RTM dataset have been manually annotated. Annotations json file 4. Extracted Frames from video clips 3. Learn more 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. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Public video data set for road transportation Dataset for Highway Traffic Analysis through CCTV captured footage. They contain trajectories, raw video material, and extensive metadata encompassing 100 variables for each video such as current road surface temperature or road conditions. Dataset Structure The third video sequence, called Urban1 (23435 frames), has been recorded in a busy intersection with video surveillance traffic camera with a resolution of 600x360 @25fps. Set of video-based and multimodal traffic surveillance datasets. . It comprises a collection of zipped files containing MP4 video files, captured from Traffic/Surveillance Cameras and Dash Cameras, and categorized into various classes of traffic scenarios. Duration information of videos 5. The Multi-view Traffic Intersection Dataset (MTID) is a traffic surveillance dataset containing footage of the same intersection from multiple points of view. The following categories are provided: car, truck, van, and big-truck. wtyza hsbva efof eharq eje devjdew htdt kpcbb qym txyj