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This is our 2D object detection and orientation estimation benchmark; it consists of 7481 training images and 7518 testing images. The benchmark uses 2D bounding box overlap to compute precision-recall curves for detection and computes orientation similarity to evaluate the orientation estimates in bird's eye view.
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This is our 3D object detection benchmark; it consists of 7481 training point clouds (and images) and 7518 testing point clouds (and images). The benchmark uses 3D bounding box overlap to compute precision-recall curves.
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This is our bird's eye view benchmark; it consists of 7481 training point clouds (and images) and 7518 testing point clouds (and images). The benchmark uses bounding box overlap in bird's eye view to compute precision-recall curves.
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