Real-Time Traffic Video Dataset
Real-Time Traffic Video Dataset is a traffic dataset featuring annotated video streams from traffic cameras at urban intersections and crosswalks, designed for vehicle detection, pedestrian detection, and traffic monitoring in real-time traffic scenarios with metadata on weather, time, and traffic events to support advanced traffic surveillance and traffic prediction models.
-
- Videos
- 500
- Auto
- Computer Vision
- Machine learning
- Object Detection
- Smart Cities
Real-Time Traffic Video Dataset is a traffic dataset featuring annotated video streams from traffic cameras at urban intersections and crosswalks, designed for vehicle detection, pedestrian detection, and traffic monitoring in real-time traffic scenarios with metadata on weather, time, and traffic events to support advanced traffic surveillance and traffic prediction models.
- Auto
- Computer Vision
- Machine learning
- Object Detection
- Smart Cities
-
- 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 |
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