I am wondering what is the Kitti Eigen Split. Why is it used in depth estimation? I am working with the Kitti dataset for my computer vision research. However, I am a beginner in computer vision terminology.
Thanks,
I have searched google a little more and I found that Eigen Split is a term from the paper:
David Eigen, ChristianPuhrsch,andRobFergus.Depth map prediction from a single image using a multi-scale deep network. In NIPS*2014, pages 2366–2374.
and here a brief summary about Kitti Split and Eigen Split:
The KITTI-Raw dataset contains 42,382 stereo image pairs grouped into 61 scenes. Image sizes 1242×375.
In the paper above they split Kitti in two ways:
Kitti Split:
28 Scenes - testing.
33 Scenes - training and validation.
29,000 images -> training
1,159 images -> validation
Eigen Split:
29 Scenes - testing.
32 Scenes - training and validation.
22,600 images -> training
888 images -> validation