sekilab/VehicleOrientationDataset
The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network.
This dataset helps traffic analysts and city planners understand vehicle movement by providing image data annotated with vehicle types and their precise orientation (front, back, or side). It offers over a million annotations across various vehicle classes, directly usable for training models to detect and classify vehicles and their direction simultaneously. You would use this if you need to analyze traffic flow, optimize city planning, or improve smart city infrastructure based on detailed vehicle behavior.
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Use this if you need to train or evaluate machine learning models for detecting vehicles and their orientation from image data for applications like traffic management or urban planning.
Not ideal if you only need basic vehicle detection without orientation, or if you require video-based analysis beyond static images.
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Sep 10, 2023
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