Commercial
Cars Object Tracking
A dataset of videos featuring overhead frames that include polygonal vehicle tracking
Request a demo- Auto The use of machine learning in the automotive industry.
- Detection Allocation of the bounding box object for solving computer vision problems
- Data annotation The process of identifying objects in photos for training a system to recognize and interpret them
- Computer Vision The ability to recognize and analyze images and videos
- 10,000+
- images
CASE DESCRIPTION
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The dataset includes light vehicles (cars) and heavy vehicles (minivan).
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Each video frame is paired with an annotations.xml file that meticulously defines the tracking of each vehicle using polygons.
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Bounding Box labeling is provided for each car
Application areas of the dataset
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01.
Road Safety System Development:
Detecting and alerting about traffic rule violations -
02.
Autonomous Vehicles:
Enhancing navigation and decision-making systems for self-driving cars. -
03.
Traffic Flow Management Systems:
Developing and improving traffic management, predicting and optimizing road traffic flow, managing traffic lights, and predicting congestion -
04.
Access Control and Security Systems:
Enhancing access control and security systems, automating barrier operations, controlling access to premises, and registering vehicle entry/exit
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