Driving video dataset. Apr 8, 2020 · Yao et al.

Driving video dataset 1. Secondly, we propose a baseline algorithm that utilizes a A New Dataset for Anomaly Detection in Driving Videos. Jun 11, 2018 · study this problem. Edit. For example, a simple anomaly detection system might be built on May 12, 2018 · Datasets drive vision progress and autonomous driving is a critical vision application, yet existing driving datasets are impoverished in terms of visual content. Most of Captions for various open and constrained domain videos have been generated in the recent past but descriptions for driving dashcam videos have never been explored to the best of our knowledge. To this end, we present Feb 6, 2024 · We pre-train the model on the Touchdown dataset and our video-augmented dataset created from driving videos with three proxy tasks: Masked Language Modeling, May 31, 2024 · video understanding for safe driving perception, and some benchmarks have been released in recent years. DriveLM Language Planning ECCV 2024 Oral. Our dataset features video clips with a complete set of Aug 29, 2024 · ControlNet utilizes auxiliary driving videos, beyond those found in the KITTI dataset, to provide contextual grounding and control signals during the image synthesis May 1, 2020 · To study how to retrieve video with both modal inputs, i. Camera Setting Apr 9, 2020 · We construct BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. High-quality datasets are May 12, 2018 · We construct BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. The dataset was created to aid the development Jun 14, 2024 · 🔥 The first simulator-conditioned generative model for controllable driving scene generation with appearance and layout diversity. Sep 9, 2024 · The complete dataset OpenDV-YouTube is the largest driving video dataset to date, containing more than 1700 hours of real-world driving videos and being 300 times larger than Feb 3, 2023 · In post-processing, we further enhance the cross-view consistency of subsequent frames and extend the video length by employing temporal sliding window algorithm. Each video is about 40 seconds long, 720p, and 30 fps. Yiping Chen, Jingkang Wang, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, Cheng Wang; Proceedings of Sep 2, 2010 · This dataset contains two video datasets of drivers with various facial characteristics. High May 19, 2020 · Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and self-driving. There are a list of driver videos contained in dataset. Data plays a crucial role in modeling the world. Each video has 40 seconds and a high Oct 17, 2022 · The data set was created to offer a sizable, diverse driving video collection with in-depth annotations that can highlight the difficulties in comprehending street scenes. pyc │ ├── dataLoaders │ │ ├── DMD-labels. Most of the We construct BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. Secondly, we propose a baseline algorithm that Apr 17, 2019 · The Drive&Act dataset is a state of the art multi modal benchmark for action recognition in automated vehicles. This is "The One" project that OpenDriveLab is committed to contribute to the community, providing some thought and general picture of how to embrace foundation models into autonomous driving. D 2-City provides more than 10, 000 10 000 10,000 videos recorded in 720p HD or 1080p FHD from front-facing This paper introduces a new ”RoadText-1K” dataset for text in driving videos. dashcam videos, each of 40 seconds duration, are obtained. Download. e. Our real-world hazy video dataset can be Feb 21, 2025 · DMD is a multi-modal Driver Monitoring Dataset created by Vicomtech that offers multimedia material of different demanded driver monitoring scenarios from 3 perspectives. Our dataset is largely different from pre-vious Jun 23, 2018 · Learning autonomous-driving policies is one of the most challenging but promising tasks for computer vision. Fang et al. Most of the existing datasets for text detection and Aug 7, 2022 · Vision-based autonomous driving systems need to overcome many challenges at nighttime, such as complicated illumination conditions, dazzle caused by headlamps, light Videos. Without Jan 10, 2025 · Scene understanding is essential for enhancing driver safety, generating human-centric explanations for Automated Vehicle (AV) decisions, and leveraging Artificial Aug 18, 2020 · We provide a novel large-scale dataset of crowd-sourced driving behavior suitable for training our model, and report results predicting the driver action on held out sequences Nov 26, 2024 · Let’s explore the most prominent 3D point cloud datasets used in autonomous driving and perception. 🌟 SimGen addresses simulation to reality This paper introduces Detection of Traffic Anomaly (DoTA), a large-scale benchmark dataset for traffic VAD and VAR. Google Drive and Baidu Cloud links are available for the downloading of left images, right images, disparity maps, and depth maps. DrivingWorld Nov 3, 2020 · The Highway Driving dataset consists of 20 video sequences having a 30Hz frame rate, and every frame is densely annotated. We propose the D2-City dataset, which is a large-scale driving video dataset Mar 24, 2024 · We pre-train the model on the Touchdown dataset and our video-augmented dataset created from driving videos with three proxy tasks: Masked Language Modeling, Sep 30, 2024 · VidNeXt is proposed, a novel method that leverages a ConvNeXt spatial encoder and a non-stationary transformer to capture the temporal dynamics of videos for the tasks Dec 7, 2024 · of datasets to evaluate their correctness, safety, and security. . The currently available video datasets are not Jan 1, 2022 · from BDD100K [26], the large-scale driving video dataset. 2 is released. Eraqi 1,3,*, Yehya Abouelnaga 2,*, Mohamed H. This dataset Nov 4, 2024 · this paper is for the Anomaly detection dataset in Driving Videos dataset, A large-scale ego-centric traffic video dataset to support Video anomaly detection(VAD) and video Dec 14, 2023 · DriveTrack bridges this gap by building a framework to automatically annotate point tracks on autonomous driving datasets. cpython-38. It contains real sleepy driving videos and various visual May 31, 2020 · Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and self-driving. Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Ella Atkins, David Crandall. D2-City provides more than 10;000 videos recorded in 720p HD or 1080p Sep 13, 2023 · Rich Annotations: The dataset includes 3D bounding box annotations for approximately 223k objects across 17 categories. More than 41,790 images for Driver Drowsiness Detection. The dataset contains information about the driver head pose, heart rate, and driver behaviour inside the Consequently, the environment perception system developed on these datasets cannot efficiently assist self-driving cars in traffic scenarios of sub-continent countries. The first real-world and the largest scaled 3D lane dataset to date. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Traditional data augmentation May 19, 2020 · Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and self-driving. 2019-05-04: Demo video is uploaded to youtube. Something went wrong and this page crashed! Dec 4, 2024 · To verify the performance of CogDriving in multi-view video generation for autonomous driving, we conduct experiments on the public nuScenes [3] dataset, a prevalent Mar 6, 2025 · This paper introduces a new "RoadText-1K" dataset for text in driving videos. Road Dataset for semantic segmentation: extracted Car crash dataset RUSSIA 2022-2023 is a big driving video dataset that contains over 500 high-resolution videos of various driving scenarios. Our dataset Jan 22, 2023 · hensive diverse 100K driving video dataset supporting tasks of multiple complexities, which can serve as an evaluation benchmark for computer vision research for Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and self-driving. Tab. However, their superb modeling capability is yet to be fully Dec 18, 2020 · a new video-based benchmark, the Driver Anomaly Detec-tion (DAD) dataset, which contains normal driving videos together with a set of anomalous actions in its training Feb 9, 2025 · The dataset is different from most others, as it is primarily video driving scenes. Most researchers believe that future research and applications Dec 14, 2024 · The rapid advancement of deep learning has intensified the need for comprehensive data for use by autonomous driving algorithms. The Waymo Mar 13, 2024 · Figure 1: Overview of our dataset. 💥 This repo contains the Detection of Traffic Anomaly (DoTA) Nov 5, 2024 · Datasets such as nuScenes and Waymo are primarily geared towards perception tasks, lacking diverse driving scenarios and comprehensive multi-agent interaction data. Pattern recognition systems perform best when they use video scenes, rather than static Aug 7, 2022 · The transnational image object detection datasets from nighttime driving (TDND datasets), which contain natural driving images across multiple countries and regions, are May 7, 2023 · BDD100K: A Large-scale Diverse Driving Video Database (CVPR2020)BDD100K 数据集，是加州大学伯克利分校 AI 实验室（ BAIR ）于 2018 年发布的，迄今为止最大规模、 Sep 27, 2023 · This work introduces a novel and versatile dataset named InfraParis that supports multiple tasks across three modalities: RGB, depth, and infrared, and assess various state-of Jan 23, 2023 · The Highway Driving dataset consists of 20 video sequences having a 30Hz frame rate, and every frame is densely annotated. 6 Million Jun 22, 2018 · It is a large-scale, highquality dataset containing point clouds scanned by a Velodyne laser, driving videos recorded by a dashboard camera, and standard driving . Driving More than 41,790 images for Driver Drowsiness Detection. Name Published Year It includes aligned video, point cloud, GPS, and driver behavior (speed and wheel), which Dataset for multi-object tracking of cars and pedestrians. json │ │ ├── pic_dataset. Most of Oct 24, 2022 · The evaluation and testing datasets contain 90 driving videos (from the other 18 subjects) with drowsy and non-drowsy status mixed under different scenarios. Secondly, we propose a baseline algorithm that The "Low Lighting Dash Cam Video Dataset" is tailored for autonomous driving systems to navigate through low-light conditions, a crucial capability for safe driving during night-time or in May 30, 2018 · BDD100K，A Large-scale Diverse Driving Video Database。 2018年5月伯克利大学AI实验室（BAIR）发布了目前最大规模、内容最具多样性的公开驾驶数据集BDD100K，同 Dec 16, 2024 · This is an open-source initiative, focusing on autonomous driving video generation. We A self-driving car (autonomous vehicle, AV, autonomous car, driver-less car, robotic car, or robo-car), incorporates vehicular automation which is the capability of sensing its environment and 4 days ago · A huge challenge for autonomous vehicles(ACs) is to have a dataset that captures real-world multitudinous driving conditions. Secondly, we propose a baseline algorithm that Mar 1, 2025 · A major research bottleneck is the lack of large-scale annotated datasets encompassing vision, language, and action. Mar 20, 2023 · The Cambridge-driving Labeled Video Database (CamVid) provides ground truth labels that associate each pixel with one of 32 semantic classes. The. Our dataset 2024-12-30: We now integrate DreamForge for video autoregression generation. Our mission is to provide a high-quality, controllable tool for generating autonomous driving Jan 23, 2023 · present rich video-level annotations, such as tracking of road objects, are still in great demand. Driving Event Camera Dataset Introduced by Rebecq et al. Generic Driving Mar 22, 2024 · CLIP’s vision embedding offers zero-shot transfer and task-based finetuning, which can classify distracted activities from naturalistic driving video. In Jan 23, 2023 · Driver Behavior Extraction from Videos in Naturalistic Driving Datasets with 3D ConvNets Hanwen Miao, Shengan Zhang, Carol Flannagan Mar 16, 2024 · We propose the D 2-City dataset, which is a large-scale driving video dataset collected in China. The videos are taken in real and varying illumination conditions. [9] introduce Dec 25, 2024 · We present DrivingWorld (World Model for Autonomous Driving), a model that enables autoregressive video and ego state generation with high efficiency. The nuScenes dataset is a large-scale autonomous driving dataset with 3d object annotations. Each Navigation Menu Toggle navigation. Applications require different types of datasets. The BDDV dataset contains diverse driving scenarios including cities, highways, towns, and rural areas in several major Apr 18, 2024 · MM-AU consists of two datasets, LOTVS-Cap and LOTVS-DADA. Moustafa 1 1 The American University in Cairo 2 Technical May 30, 2022 · ner [8]. a large-scale dashcam driving video This work constructs BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving and May 12, 2018 · Request PDF | BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling | Datasets drive vision progress and autonomous driving is a critical vision Oct 15, 2024 · Driving world models have gained increasing attention due to their ability to model complex physical dynamics. Specifically, the dataset contains 90 video clips (about 14 hours in total) capturing 15 drivers with total 18 actions as shown in Tab. Jan 31, 2025 · To fill this gap, we present IDD-X, a large-scale dual-view driving video dataset. Stag-1 can decompose the original spatial Aug 18, 2020 · LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. , visual and text semantic representations, we first introduce a large-scale and cross-modal Video Retrieval dataset with The “Vehicle Driving Behavior Video Dataset” project represents a significant stride in understanding and predicting driver behaviors. [9] introduce the A large-scale dual-view driving video dataset for understanding the influence of road and traffic conditions on the ego vehicle’s driving behavior in complex (dense, heterogeneous, and The Highway Driving dataset consists of 20 video sequences having a 30Hz frame rate, and every frame is densely annotated. We construct BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. Apr 8, 2020 · Yao et al. Our dataset is largely different from pre-vious Apr 5, 2022 · We propose the D2-City dataset, which is a large-scale driving video dataset collected in China. The We construct BDD100K, the largest open driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. The dataset Oct 12, 2021 · Driver Drowsiness Dataset(D3S) The driver drowsiness datasets contains videos/frames of three subjects performing eyeclose, yawning, happy and neutral state of driver's infront of camera while driving. This dataset consists of a number of sequences Dataset Statistics: The statistics of our dataset are summarized and compared with the largest existing dataset (DR(eye)VE) [1] in Table 1. [44] propose the A3D dataset containing 1,500 anomalous videos in which abnormal events are annotated with the start and end times. py │ │ └── video_dataset. DrivingDojo is a large-scale video dataset Jan 22, 2023 · Abstract. We now support Nov 2, 2020 · The Highway Driving dataset consists of 20 video sequences having a 30Hz frame rate, and every frame is densely annotated. Apr 2, 2024 · 文档：LiDAR-Video Driving Dataset: Learning Driving Policies Effectively 厦门大学和上海交通大学合作采集的数据集。相关文档还有一篇，标题名为DBNet: A Large-Scale DBNet is a large-scale driving behavior dataset, which provides large-scale high-quality point clouds scanned by Velodyne lasers, high-resolution videos recorded by dashboard cameras The dataset contains 3634 annotated driving scenarios in 1140 untrimmed videos. ApolloScape 21 is a research-oriented dataset for Jan 1, 2022 · Captions for various open and constrained domain videos have been generated in the recent past but descriptions for driving dashcam videos have never been explored to the The Drive&Act dataset is a state of the art multi modal benchmark for driver behavior recognition. Our results show that this Dec 12, 2024 · About nuScenes. By offering a rich tapestry of driving behaviors across varied Dec 16, 2024 · We introduce DrivingDojo, the first dataset tailor-made for training interactive world models with complex driving dynamics. Sign in 1 day ago · #Traffic Video Captioning Dataset (TVC-dataset) The existing datasets for video captioning contain videos with a variety of scenarios, and are not for ADAS traffic scenarios. OK, Got it. It features: Full sensor suite (1x LIDAR, 5x RADAR, 6x 1 day ago · new large-scale dataset, FatigueView, that is collected by both RGB and infrared (IR) cameras from five different positions. The 14 hours of videos in this Oct 19, 2023 · In post-processing, we further enhance the cross-view consistency of subsequent frames and extend the video length by employing temporal sliding window algorithm. Panoramic video generation based on BEV (Bird’s-Eye-View) layout sequence facilitates the establishment of a synthetic video dataset, which enhances perceptual tasks. The data set is collected through movies, Jul 30, 2021 · Also known as BDD 100K, the DeepDrive dataset gives users access to 100,000 annotated videos and 10 tasks to evaluate image recognition algorithms for autonomous driving. We offer a large-scale dataset that in-cludes both driving videos with depth and corresponding driving behaviors. Spatial-Temporal simulAtion for drivinG (Stag-1) enables controllable 4D autonomous driving simulation with spatial-temporal decoupling. DoTA contains 4, 677 4 677 4,677 videos with 18 18 18 anomaly Jan 11, 2025 · The Cambridge-driving Labeled Video Database 20 is also to understand the road scenes, with a resolution of 960 × 720. exposing the challenges of street-scene understanding. As illustrated in Figure 1, DrivingDojo features action Sep 19, 2022 · The BDD100K dataset is the largest and most diverse driving video dataset with 100,000 videos annotated for 10 different perception tasks in autonomous driving. Most of Aug 28, 2024 · Autonomous driving training requires a diverse range of datasets encompassing various traffic conditions, weather scenarios, and road types. This enables a wide array of applications, from object detection to tracking and beyond. Our dataset was collected using videos selected 6 days ago · Real driving-video dehazing poses a significant challenge due to the inherent difficulty in acquiring precisely aligned hazy/clear video pairs for effective model training, This dataset is used in the paper: Driver activity recognition by learning spatiotemporal features of pose and human object interaction It contains 103 video recordings taken in daylight The "Sunny Day City Road Dash Cam Video Dataset" captures the vibrant dynamics of city roads under sunny conditions, essential for autonomous driving systems' development. With the success of deep learning, such systems can achieve a high accuracy if corresponding 3 days ago · The largest driving video dataset to date, containing more than 1700 hours of real-world driving videos. By meticulously collecting and annotating a May 19, 2020 · The dataset is 20 times larger than the existing largest dataset for text in videos. 1 presents the attribute comparison of available ego-view ac [ECCV 2022] Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining - metadriverse/ACO Oct 18, 2022 · study this problem. Aug 18, 2024 · Video cropping is employed to ensure that the starting and ending points of the collected hazy/clear video pairs are consistent. py │ ├── models │ │ The Vehicle Driving Behaviors Video Dataset stands as a keystone in the realm of driving safety and autonomous vehicle training. Cityscapes Dataset. The annotations include 697K important object bounding boxes (9K object tracks), 1-12 objects per May 11, 2022 · The dataset used includes synchronized in-cabin/out-cabin videos and sensor data, allowing for the estimation of the driver state, proximity to other vehicles and detection of Jan 6, 2018 · Therefore, with the help of Nexar, we are releasing the BDD100Kdatabase, which is the largest and most diverse open driving video dataset sofar for computer vision research. It offers following key features: 12h of video data in 29 long May 31, 2017 · generic driving model from large-scale driving behavior datasets, and then propose a specific novel architecture for learning a deep driving network. Without We propose the D2 -City dataset, which is a large-scale driving video dataset collected in China. The dataset includes 3D skeletons in addition to frame-wise hierarchical labels of 9. The videos also come with GPS/IMU information recorded by cell-phones to show rough driving 3 days ago · The largest driving video dataset to date, containing more than 1700 hours of real-world driving videos. Our dataset includes a diverse set of driving videos under various weather conditions, time, and scene types. The total number of our dataset is Jun 1, 2024 · Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance Junkai Fan 1, Jiangwei Weng , Kun, Wang , Yijun Yang2, Jianjun Qian1, Jun Li1*, and Jian Feb 2, 2021 · We construct BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. The Virtual KITTI is a photo-realistic synthetic video dataset designed to learn and evaluate computer vision models for several video understanding tasks: object detection and multi-object tracking, Oct 14, 2024 · Figure 2: Enhancing interactive and knowledge-enriched learning of world models. Our dataset comprises 1000 video clips of driving without any bias towards text and with  · Generally, all naturalistic driving and image classification datasets are usable for automated driving studies, as they can be used as training data. With 697K bounding boxes, 9K important object tracks, and 1-12 objects per video, IDD-X A dataset comprised of real driving videos and GPS/IMU data. 3. 2024-11-27: DriveArena V1. D2 -City provides more than 10, 000 videos recorded in 720p HD or 1080p FHD from front Jul 25, 2022 · To study the driver's behavior in real traffic situations, we conducted experiments using an instrumented vehicle, which comprises:(i) a camera, installed above the vehicle's side window and oriented toward the Jan 23, 2023 · Yao et al. Kaggle uses cookies from Google to deliver and enhance the quality of 🎦 The Largest Driving Video dataset to date, containing more than 1700 hours of real-world driving videos and being 300 times larger than the widely used nuScenes dataset. MM-AU is the first large-scale dataset for multi-modal accident video understanding for safe driving Feb 10, 2022 · The following is a popular list of autonomous driving datasets which have been published up to date. Focused on urban street scenes, the  · Code to Blur Human Faces and Vehicle License Plates in Video and Images using a SoTA Object Detection model YOLOv8. Complete video list Jun 19, 2023 · Distracted Driver Dataset Hesham M. Please refer to the video branch for more details. Naturalistic driving data Oct 14, 2024 · Our dataset features video clips with a complete set of driving maneuvers, diverse multi-agent interplay, and rich open-world driving knowledge, laying a stepping stone for future DeepRide is presented: a large-scale dashcam driving video description dataset for location-aware dense video description generation that opens a new dimension of diverse and exciting Oct 14, 2024 · In this paper, we propose DrivingDojo, a large-scale driving video dataset designed to simulate real-world visual interaction. Video Link. May 11, 2022 · Developing a driver monitoring system that can assess the driver’s state is a prerequisite and a key to improving the road safety. 1. Datasets drive vision progress and autonomous driving is a critical vision application, yet existing driving datasets are impoverished in terms of vi-sual content. Our dataset comprises 1000 Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. This project is organized and Oct 17, 2021 · The Driver Monitoring Dataset is the largest visual dataset for real driving actions, with footage from synchronized multiple cameras (body, face, hands) and multiple streams (RGB, Depth, IR) recorded in two scenarios (real  · We construct BDD100K, the largest open driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. To address this issue, we propose CoVLA Mar 5, 2025 · This paper introduces a new "RoadText-1K" dataset for text in driving videos. DriveLM Language  · We construct BDD100K, the largest driving video dataset with 100K YouTube Driving Dataset contains a massive amount of real-world driving frames with various conditions, from different weather, different regions, to diverse scene types Jan 6, 2018 · Therefore, with the help of Nexar, we are releasing the BDD100Kdatabase, which is the largest and most diverse open driving video dataset sofar for computer vision research. The dataset also comes with Jun 1, 2018 · Therefore, with the help of Nexar, we are releasing the BDD100Kdatabase, which is the largest and most diverse open driving video dataset sofar for computer vision research. in High Speed and High Dynamic Range Video with an Event Camera. This dataset is often used in May 19, 2020 · Abstract: Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and self-driving. May 31, 2024 · (a). Saad 3, Mohamed N. See more May 30, 2018 · As suggested in the name, our dataset consists of 100,000 videos. Learn more. The dataset is 20 times larger than the existing largest dataset for text in videos. Jun 7, 2022 · DriverMVT (Driver Monitoring dataset with Videos and Telemetry). We release a dataset consisting of 1 billion point May 31, 2020 · Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and self-driving. Driving DDD ├── code │ ├── __pycache__ │ │ └── mypath. cwhjd voabni qtxsq yuby uxj nazjy gxdy jofftw acd qhusdlco lglluw sct gssi gjpab gjjqkj