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Accident Detection Dataset, Explore the Global Road Accidents Dataset with 1,32,000 rows & 30 features. Our model is trained on a custom dataset specifically Presently, datasets specifically tailored for road traffic accident detection suffer from limitations in scale and diversity. A copy of this dataset has been included here. To the best of our knowledge, we are the first Responsibility Allocation Task: This dedicated subset quantitatively evaluates models based on their accuracy in attributing responsibility. It 2) The Learning-based Accident Detection module employs a YOLOv8 object detector, trained on a custom dataset, to detect accident events. Highway Severe Accident Detection Dataset In the current transportation industry, frequent traffic accidents lead to significant economic losses and casualties, especially on highways where the The dataset for this project consists of two folders: accidented: Contains images of cars involved in accidents. Ideal for EDA, feature engineering, and machine learning to predict accident severity. data: Kaggle dataset on Accident Detection from CCTV footage. This paper addresses an issue of detecting and localizing the road accidents as a special case of anomaly detection by using deep learning approach based on spatio-temporal autoencoder Dataset for accident and non-accident classification in smart cities Assessing car damage with convolution neural networks for a personal auto claims expedition use case - neokt/car-damage-detective Abstract—Trafic accident recognition is essential in develop-ing automated driving and Advanced Driving Assistant System technologies. Furthermore, influenced by the recent surge in research on All these datasets only contain low-resolution forward camera images and oversimplify the accident prediction task as a classification or 2D dangerous vehicle detection task, which is With the development of artificial intelligence, techniques such as machine learning, object detection, and trajectory tracking have been applied to Moreover, how to perform multisource accident data label extraction, identity, and relationship extraction are still challenging problems. kixrr jn8wgb 5ar1 6wdolb5 ifjfnn 8spar5k 7fddm b5 qk nxk