Datasets › KITTI-Depth

KITTI-Depth

Introduced by Jonas Uhrig et al. in Sparsity Invariant CNNs1 Jan 2017 archive 2025-07-28

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 Image Source: http://www.cvlibs.net/datasets/kitti/eval_depth.php?benchmark=depth_prediction

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 14 papers for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • KITTI-Depth

1 variant name, as the archive lists them.

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