A Discriminatively Trained, Multiscale, Deformable Part Model
Pedro Felzenszwalb, David McAllester and Deva Ramanan
IEEE Conference on Computer Vision and Pattern Recognition, 2008.
Currently we are distributing the object detection code with models
trained on the PASCAL VOC 2006 dataset.
Models trained on the 2007 dataset will be available soon. The learning code will be also be available in the future.
The system is implemented in matlab, with a few helper functions
implemented in C++ for efficiency reasons.
The README file has instructions on how to compile and use the system.
This software is released under the MIT License.
To download the source code, click here.
The models included with the source code were trained on the train+val
dataset and evaluated on the test dataset.
This is exactly the protocol of the "comp3" competition.
Average precision (AP)
|car model||person model||bicycle model|