Real-Time Traffic Dataset
Dataset of urban traffic videos with bounding box annotations for vehicles and pedestrians, enriched with environmental and temporal metadata.
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-
- Videos
- 500
- Auto
- Computer Vision
- Machine learning
- Object Detection
- Smart Cities
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- Videos
- 500
Dataset Info
Characteristic | Data |
Description | Videos of fixed-angle urban traffic (intersections, crosswalks) for object detection tasks. |
Data types | Video |
Tasks | Detection, Classification |
Number of video | 500+ |
Marking | Bounding Box |
Labeling | Metadata(time of day, weather (rain/snow/fog), vehicle/pedestrian counts, traffic light status) |
Type of vehicles | Light vehicles (cars) and heavy vehicles (minivan) |
Technical
Characteristics
Characteristic | Data |
Video Extension | mp4 |
Extension of labeling file | json |
Video Duration | 30 min - 1 hour |
Video Resolution | Min = 1920×1080 |
Industries
Automotive Industry:
-
Vehicle-to-Everything (V2X) Communication:
Enabling vehicles to communicate with their surroundings by integrating real-time traffic data, improving situational awareness and response times.
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Navigation Systems:
Training algorithms for improved perception in urban environments.
Logistics and Transportation:
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Fleet Management:
Utilizing video data for real-time monitoring and management of vehicle fleets, improving route optimization and operational efficiency.
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