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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.

License: MIT License

bigdata bigdatacup bigdatacup-challenge dataset deep-learning ieee intelligent-transportation-systems machine-learning orientation-tracking tensorrt traffic-flow traffic-monitoring vehicle-detection vehicle-direction vehicle-orientation yolov4 yolov4-csp

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vehicleorientationdataset's Issues

Egocentric vs. Allocentric

Are the annotated orientation labels egocentric (orientation w.r.t. camera) ? or allocentric (orientation w.r.t. object)?
You can refer to the 3D-RCNN paper for the details.
It is very important when an orientation classifier is trained on cropped images.
Thank you.

Yolo Tiny

Hello, is it possible to have yolo3 tiny version of this? Thanks!

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