The KITTI Vision Benchmark Suite is a dataset that allows for the training of complex deep learning models for depth completion and single image depth prediction tasks. It contains over 93 thousand depth maps with corresponding raw LiDAR scans and RGB images, aligned with the "raw data" of the KITTI dataset. It also provides manually selected images with unpublished depth maps to serve as a benchmark for these two challenging tasks.
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Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.