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We take advantage of our autonomous driving platform Annieway to develop novel challenging real-world computer vision benchmarks. Our tasks of interest are: ...
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A dataset for semantic scene understanding using LiDAR sequences. Large-scale SemanticKITTI is based on the KITTI Vision Benchmark and we provide semantic ...
Nov 4, 2025 — The kitti dataset is primarily used for computer vision research in autonomous driving, supporting tasks like object detection, depth estimation ...
This page contains our raw data recordings, sorted by category (see menu above). So far, we included only sequences, for which we either have 3D object labels.
by A Geiger · 2012 · Cited by 19141 — In this paper, we take advantage of our autonomous driving platform to develop novel challenging benchmarks for the tasks of stereo, optic
Virtual KITTI 2 is a more photo-realistic and better-featured version of the original virtual KITTI dataset. It exploits recent improvements of the Unity game ...
kitti dataset 2012/2015 stereo images from camera.
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The KITTI depth completion evaluation uses over 93,000 depth maps, LiDaR scans, and RGB images. Methods are ranked by RMSE, with other metrics like iRMSE and ...
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The KITTI format is widely used for a range of computer vision tasks related to autonomous driving, including but not limited to 3D object detection, ...
The KITTI 2015 benchmark has 200 training and 200 test scenes, evaluates methods by the percentage of erroneous pixels, and uses a 3px or 5% error threshold.
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Sebastian Krauss. Updated 4 years ago. Use this Dataset. 2 stars. Report This Project. Adult Content Disturbing or Violent Content Personal Information.
by A Geiger · 2013 · Cited by 12451 — We present a novel dataset captured from a VW station wagon for use in mobile robotics and autonomous driving research. In total, we recor
We are a multinational (Hungarian and British) couple living in Manchester, England and we love to travel, hike and explore both in the UK and abroad!
The KITTI format, for autonomous driving, uses 15 values per object, including type, 2D bounding box, 3D dimensions, and 3D location. Some fields are optional.
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