Standard DatasetsSunny Day City Road Dash Cam Video Dataset
Welcome to the fascinating world of autonomous driving, powered by our rich and diverse datasets. These datasets, meticulously curated and annotated, are the lifeblood of the self-driving car industry, fueling advancements across various domains.
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. This dataset is recorded with high-resolution driving recorders, boasting over 1920 x 1080 resolution and a frame rate of over 33 fps, ensuring crystal-clear imagery and fluid motion capture. It includes bounding boxes and tags for more than 10 typical urban object categories, including humans, cars, electric bicycles, vans, trucks, and more, providing a rich training ground for AI to recognize and respond to various elements in sunlit urban environments.
Sample
Specification
Dataset ID
MD-Auto-007
Dataset Name
Sunny Day City Road Dash Cam Video Dataset
Data Type
ImageVolume
About 4.5k annotated images
Data Collection
Driving Recorders Images. Resolution is over 1920 x 1080 and the number of frames per second of the video is over 33.
Annotation
Bounding Box,Tags
Annotation Notes
Total more than 10 typical object categories, such as human, car,electric bicycle,van,truck etc.
Application Scenarios
Autonomous Driving
Data Collections
With approximately 4.5k annotated video images, this dataset offers an extensive view of urban streets on sunny days, highlighting the challenges and common scenarios autonomous vehicles face in such conditions. The high frame rate and resolution enable detailed analysis of dynamic interactions and fast-moving objects, facilitating advanced research and development in autonomous driving technologies.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
Cityscapes Dataset [Learn more]
Focuses on semantic understanding of urban street scenes, featuring semantic, instance-wise, and dense pixel annotations for various classes. It includes 5,000 finely annotated images and 20,000 coarsely annotated images.
Waymo Open Dataset [Learn more]
Offers a high-quality multimodal sensor dataset for autonomous driving extracted from Waymo self-driving vehicles, covering a wide variety of environments and conditions.
nuScenes Dataset [Learn more]
A comprehensive dataset for autonomous driving that enables researchers to study urban driving situations using the full sensor suite of a real self-driving car. The dataset features camera images, lidar sweeps, and detailed map information.
A2D2 Dataset [Learn more]
The Audi Autonomous Driving Dataset (A2D2) offers a large volume of data with various annotations, including semantic segmentation and 3D bounding boxes.
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