KITTI-Depth

Introduced by Uhrig et al. in Sparsity Invariant CNNs

The KITTI-Depth dataset includes depth maps from projected LiDAR point clouds that were matched against the depth estimation from the stereo cameras. The depth images are highly sparse with only 5% of the pixels available and the rest is missing. The dataset has 86k training images, 7k validation images, and 1k test set images on the benchmark server with no access to the ground truth.

Source: Confidence Propagation through CNNs for Guided Sparse Depth Regression

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