paper-with-me

Waymo Open Dataset

홈페이지 · 논문 481편

The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver in a wide variety of conditions. The Waymo Open Dataset currently contains 1,950 segments. The authors plan to grow this dataset in the future. Currently the datasets includes: * 1,950 segments of 20s each, collected at 10Hz (390,000 frames) in diverse geographies and conditions * Sensor data * 1 mid-range lidar * 4 short-range lidars * 5 cameras (front and sides) * Synchronized lidar and camera data * Lidar to camera projections * Sensor calibrations and vehicle poses * Labeled data * Labels for 4 object classes - Vehicles, Pedestrians, Cyclists, Signs * High-quality labels for lidar data in 1,200 segments * 12.6M 3D bounding box labels with tracking IDs on lidar data * High-quality labels for camera data in 1,000 segments * 11.8M 2D bounding box labels with tracking IDs on camera data

Images3DLiDAR

벤치마크

Object Detection on Waymo 2D detection all_ns f0val 결과 75개
3D Object Detection on Waymo Open Dataset 결과 49개
3D Multi-Object Tracking on Waymo Open Dataset: Vehicle (Online Methods) 결과 48개
3D Object Detection on waymo vehicle 결과 48개
3D Object Detection on waymo cyclist 결과 42개
3D Object Detection on waymo pedestrian 결과 42개
Object Detection on Waymo Open Dataset 결과 25개
3D Object Detection From Monocular Images on Waymo Open Dataset 결과 15개
3D Object Detection on waymo all_ns 결과 12개
3D Multi-Object Tracking on Waymo Open Dataset 결과 9개
Unsupervised Panoptic Segmentation on Waymo Open Dataset 결과 8개
3D Semantic Segmentation on Waymo Open Dataset 결과 6개
Multiple Object Tracking on Waymo Open Dataset 결과 6개
Object Detection on Waymo 2D detection all_ns test 결과 5개
Video Object Detection on Waymo Open Dataset 결과 5개
3D Human Pose Estimation on Waymo Open Dataset 결과 4개