Download object development kit (1 MB) (including 3D object detection and bird's eye view evaluation code).

Download training labels of object data set (5 MB).

Download camera calibration matrices of object data set (16 MB).

Download Velodyne point clouds, if you want to use laser information (29 GB).

Download the 3 temporally preceding frames (right color) (36 GB).

Download the 3 temporally preceding frames (left color) (36 GB).

Download right color images, if you want to use stereo information (12 GB).

Download left color images of object data set (12 GB).

Our development kit provides details about the data format as well as MATLAB / C++ utility functions for reading and writing the label files. We require that all methods use the same parameter set for all test pairs. To rank the methods we compute average precision and average orientation similiarity. In the latter case not only the object 2D bounding box has to be located correctly, but also the orientation estimate in bird's eye view is evaluated. For evaluation, we compute precision-recall curves for object detection and orientation-similarity-recall curves for joint object detection and orientation estimation. The object detection and object orientation estimation benchmark consists of 7481 training images and 7518 test images, comprising a total of 80.256 labeled objects.

3d object converter 6.30 serial key