Standard DatasetsSunny Day Crossroads 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 Crossroads Dash Cam Video Dataset" offers a focused glimpse into the dynamic interactions at crossroads under sunny conditions, a critical aspect of urban driving for autonomous vehicles. Captured with high-resolution driving recorders at over 1920 x 1080 pixels and a frame rate surpassing 34 fps, this dataset provides clear and fluid visuals necessary for detailed analysis and AI training. It encompasses bounding boxes and tags for over 10 typical urban object categories, including humans, cars, electric bicycles, vans, trucks, and more. This rich dataset aims to enhance the decision-making algorithms of self-driving cars at busy intersections, where the complexity of vehicle and pedestrian movements is significantly heightened.
Sample
Specification
Dataset ID
MD-Auto-008
Dataset Name
Sunny Day Crossroads Dash Cam Video Dataset
Data Type
ImageVolume
About 10k 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 34.
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
This dataset includes approximately 10k annotated images, offering an extensive resource for understanding and navigating the complexities of sunny day crossroads in urban environments. The detailed annotations and high-quality videos assist in training AI models to accurately identify and interact with various objects and scenarios encountered at intersections, improving situational awareness and safety in autonomous driving systems.
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.
Related products
Any further information, please contact us.
