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Datasets/nuScenes

nuScenes

3DImagesLiDARPoint cloudTrackingCustom (CC BY-NC-SA 4.0 with exceptions for startups and research; separate commercial licenses)Introduced 2019-03-26

The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in Boston and Singapore. Each scene is 20 seconds long and annotated at 2Hz. This results in a total of 28130 samples for training, 6019 samples for validation and 6008 samples for testing. The dataset has the full autonomous vehicle data suite: 32-beam LiDAR, 6 cameras and radars with complete 360° coverage. The 3D object detection challenge evaluates the performance on 10 classes: cars, trucks, buses, trailers, construction vehicles, pedestrians, motorcycles, bicycles, traffic cones and barriers.

Source: PointPainting: Sequential Fusion for 3D Object Detection

Benchmarks

10-shot image generation/mIoU10-shot image generation/mIoU (0.5% Labels)10-shot image generation/mIoU (1% Labels)10-shot image generation/mIoU (2% Labels)10-shot image generation/mIoU (5% Labels)10-shot image generation/mIoU (10% Labels)10-shot image generation/mIoU (20% Labels)10-shot image generation/mIoU (50% Labels)10-shot image generation/IoU veh - 224x480 - Vis filter. - 100x100 at 0.510-shot image generation/IoU veh - 448x800 - Vis filter. - 100x100 at 0.510-shot image generation/IoU veh - 224x480 - No vis filter - 100x100 at 0.510-shot image generation/IoU veh - 448x800 - No vis filter - 100x100 at 0.510-shot image generation/IoU ped - 224x480 - Vis filter. - 100x100 at 0.510-shot image generation/IoU lane - 224x480 - 100x100 at 0.510-shot image generation/IoU veh - 224x480 - No vis filter - 100x50 at 0.2510-shot image generation/IoU vehicle - Setting 316k/AP(l)16k/AP(m)16k/AP(s)16k/AP5016k/AP7516k/AP8516k/AR16k/AR(l)16k/AR(m)16k/AR(s)16k/MAP16k/NDS16k/mAP16k/mATE16k/mASE16k/mAOE16k/mAVE16k/mAAE2D Classification/AP(l)2D Classification/AP(m)2D Classification/AP(s)2D Classification/AP502D Classification/AP752D Classification/AP852D Classification/AR2D Classification/AR(l)2D Classification/AR(m)2D Classification/AR(s)2D Classification/MAP2D Classification/NDS2D Classification/mAP2D Classification/mATE2D Classification/mASE2D Classification/mAOE2D Classification/mAVE2D Classification/mAAE2D Object Detection/AP(l)2D Object Detection/AP(m)2D Object Detection/AP(s)2D Object Detection/AP502D Object Detection/AP752D Object Detection/AP852D Object Detection/AR2D Object Detection/AR(l)2D Object Detection/AR(m)2D Object Detection/AR(s)2D Object Detection/MAP2D Object Detection/NDS2D Object Detection/mAP2D Object Detection/mATE2D Object Detection/mASE2D Object Detection/mAOE2D Object Detection/mAVE2D Object Detection/mAAE3D/AP(l)3D/AP(m)3D/AP(s)3D/AP503D/AP753D/AP853D/AR3D/AR(l)3D/AR(m)3D/AR(s)3D/MAP3D/NDS3D/mAP3D/mATE3D/mASE3D/mAOE3D/mAVE3D/mAAE3D Multi-Object Tracking/AMOTA3D Multi-Object Tracking/MOTA3D Multi-Object Tracking/Recall3D Object Detection/NDS3D Object Detection/mAP3D Object Detection/mATE3D Object Detection/mASE3D Object Detection/mAOE3D Object Detection/mAVE3D Object Detection/mAAE3D Semantic Segmentation/mIoUAutonomous Vehicles/IoUAutonomous Vehicles/F1 scoreBird's-Eye View Semantic Segmentation/IoU veh - 224x480 - Vis filter. - 100x100 at 0.5Bird's-Eye View Semantic Segmentation/IoU veh - 448x800 - Vis filter. - 100x100 at 0.5Bird's-Eye View Semantic Segmentation/IoU veh - 224x480 - No vis filter - 100x100 at 0.5Bird's-Eye View Semantic Segmentation/IoU veh - 448x800 - No vis filter - 100x100 at 0.5Bird's-Eye View Semantic Segmentation/IoU ped - 224x480 - Vis filter. - 100x100 at 0.5Bird's-Eye View Semantic Segmentation/IoU lane - 224x480 - 100x100 at 0.5Bird's-Eye View Semantic Segmentation/IoU veh - 224x480 - No vis filter - 100x50 at 0.25Bird's-Eye View Semantic Segmentation/IoU vehicle - Setting 3HD semantic map learning/Chamfer APIndustrial Robots/Collision-3sIndustrial Robots/L2-3sIndustrial Robots/Collision-1sIndustrial Robots/Collision-2sIndustrial Robots/Collision-AvgIndustrial Robots/L2-1sIndustrial Robots/L2-2sIndustrial Robots/L2-AvgInstance Segmentation/MOTALIDAR Semantic Segmentation/test mIoULIDAR Semantic Segmentation/val mIoULane Detection/IoULane Detection/F1 scoreMotion Detection/F1 (%)Motion Planning/CollisionMotion Planning/L2Multi-Object Tracking/AMOTAMulti-Object Tracking/MOTAMulti-Object Tracking/RecallObject Detection/AP(l)Object Detection/AP(m)Object Detection/AP(s)Object Detection/AP50Object Detection/AP75Object Detection/AP85Object Detection/ARObject Detection/AR(l)Object Detection/AR(m)Object Detection/AR(s)Object Detection/MAPObject Detection/NDSObject Detection/mAPObject Detection/mATEObject Detection/mASEObject Detection/mAOEObject Detection/mAVEObject Detection/mAAEObject Tracking/AMOTAObject Tracking/MOTAObject Tracking/RecallPrediction Of Occupancy Grid Maps/mIoUSemantic Segmentation/mIoUSemantic Segmentation/mIoU (0.5% Labels)Semantic Segmentation/mIoU (1% Labels)Semantic Segmentation/mIoU (2% Labels)Semantic Segmentation/mIoU (5% Labels)Semantic Segmentation/mIoU (10% Labels)Semantic Segmentation/mIoU (20% Labels)Semantic Segmentation/mIoU (50% Labels)Semantic Segmentation/IoU veh - 224x480 - Vis filter. - 100x100 at 0.5Semantic Segmentation/IoU veh - 448x800 - Vis filter. - 100x100 at 0.5Semantic Segmentation/IoU veh - 224x480 - No vis filter - 100x100 at 0.5Semantic Segmentation/IoU veh - 448x800 - No vis filter - 100x100 at 0.5Semantic Segmentation/IoU ped - 224x480 - Vis filter. - 100x100 at 0.5Semantic Segmentation/IoU lane - 224x480 - 100x100 at 0.5Semantic Segmentation/IoU veh - 224x480 - No vis filter - 100x50 at 0.25Semantic Segmentation/IoU vehicle - Setting 3Trajectory Planning/Collision-3sTrajectory Planning/L2-3sTrajectory Planning/Collision-1sTrajectory Planning/Collision-2sTrajectory Planning/Collision-AvgTrajectory Planning/L2-1sTrajectory Planning/L2-2sTrajectory Planning/L2-AvgTrajectory Prediction/MinADE_5Trajectory Prediction/MinADE_10Trajectory Prediction/MissRateTopK_2_5Trajectory Prediction/MissRateTopK_2_10Trajectory Prediction/MinFDE_1Trajectory Prediction/OffRoadRate

Related Benchmarks

nuScenes (Distant PCR)/3D Point Cloud Interpolation/RR @ Loose Criterion (5°&2m), on LoNuScenesnuScenes (Distant PCR)/3D Point Cloud Interpolation/mRR @ Normal Criterion (1.5°&0.3m)nuScenes (Distant PCR)/Point Cloud Registration/RR @ Loose Criterion (5°&2m), on LoNuScenesnuScenes (Distant PCR)/Point Cloud Registration/mRR @ Normal Criterion (1.5°&0.3m)nuScenes Camera Only/16k/Future FramenuScenes Camera Only/16k/NDSnuScenes Camera Only/2D Classification/Future FramenuScenes Camera Only/2D Classification/NDSnuScenes Camera Only/2D Object Detection/Future FramenuScenes Camera Only/2D Object Detection/NDSnuScenes Camera Only/3D/Future FramenuScenes Camera Only/3D/NDSnuScenes Camera Only/3D Multi-Object Tracking/AMOTAnuScenes Camera Only/3D Object Detection/Future FramenuScenes Camera Only/3D Object Detection/NDSnuScenes Camera Only/Multi-Object Tracking/AMOTAnuScenes Camera Only/Object Detection/Future FramenuScenes Camera Only/Object Detection/NDSnuScenes Camera Only/Object Tracking/AMOTAnuScenes Camera Only/Online Vectorized HD Map Construction/Average mAPnuScenes Cars/16k/AOEnuScenes Cars/16k/AP 0.5mnuScenes Cars/16k/AP 1.0mnuScenes Cars/16k/AP 2.0mnuScenes Cars/16k/AP 4.0mnuScenes Cars/16k/ASEnuScenes Cars/16k/ATEnuScenes Cars/2D Classification/AOEnuScenes Cars/2D Classification/AP 0.5mnuScenes Cars/2D Classification/AP 1.0mnuScenes Cars/2D Classification/AP 2.0mnuScenes Cars/2D Classification/AP 4.0mnuScenes Cars/2D Classification/ASEnuScenes Cars/2D Classification/ATEnuScenes Cars/2D Object Detection/AOEnuScenes Cars/2D Object Detection/AP 0.5mnuScenes Cars/2D Object Detection/AP 1.0mnuScenes Cars/2D Object Detection/AP 2.0mnuScenes Cars/2D Object Detection/AP 4.0mnuScenes Cars/2D Object Detection/ASEnuScenes Cars/2D Object Detection/ATEnuScenes Cars/3D/AOEnuScenes Cars/3D/AP 0.5mnuScenes Cars/3D/AP 1.0mnuScenes Cars/3D/AP 2.0mnuScenes Cars/3D/AP 4.0mnuScenes Cars/3D/ASEnuScenes Cars/3D/ATEnuScenes Cars/Object Detection/AOEnuScenes Cars/Object Detection/AP 0.5mnuScenes Cars/Object Detection/AP 1.0mnuScenes Cars/Object Detection/AP 2.0mnuScenes Cars/Object Detection/AP 4.0mnuScenes Cars/Object Detection/ASEnuScenes Cars/Object Detection/ATEnuScenes LiDAR only/16k/NDSnuScenes LiDAR only/16k/NDS (val)nuScenes LiDAR only/16k/mAPnuScenes LiDAR only/16k/mAP (val)nuScenes LiDAR only/2D Classification/NDSnuScenes LiDAR only/2D Classification/NDS (val)nuScenes LiDAR only/2D Classification/mAPnuScenes LiDAR only/2D Classification/mAP (val)nuScenes LiDAR only/2D Object Detection/NDSnuScenes LiDAR only/2D Object Detection/NDS (val)nuScenes LiDAR only/2D Object Detection/mAPnuScenes LiDAR only/2D Object Detection/mAP (val)nuScenes LiDAR only/3D/NDSnuScenes LiDAR only/3D/NDS (val)nuScenes LiDAR only/3D/mAPnuScenes LiDAR only/3D/mAP (val)nuScenes LiDAR only/3D Multi-Object Tracking/AMOTAnuScenes LiDAR only/3D Object Detection/NDSnuScenes LiDAR only/3D Object Detection/NDS (val)nuScenes LiDAR only/3D Object Detection/mAPnuScenes LiDAR only/3D Object Detection/mAP (val)nuScenes LiDAR only/Multi-Object Tracking/AMOTAnuScenes LiDAR only/Object Detection/NDSnuScenes LiDAR only/Object Detection/NDS (val)nuScenes LiDAR only/Object Detection/mAPnuScenes LiDAR only/Object Detection/mAP (val)nuScenes LiDAR only/Object Tracking/AMOTAnuScenes validation set/Autonomous Driving/AMOTAnuScenes validation set/Autonomous Vehicles/AMOTAnuScenes-C/10-shot image generation/mean Corruption Error (mCE)nuScenes-C/16k/mean Corruption Error (mCE)nuScenes-C/2D Classification/mean Corruption Error (mCE)nuScenes-C/2D Object Detection/mean Corruption Error (mCE)nuScenes-C/3D/mean Corruption Error (mCE)nuScenes-C/3D Object Detection/mean Corruption Error (mCE)nuScenes-C/3D Semantic Segmentation/mean Corruption Error (mCE)nuScenes-C/Object Detection/mean Corruption Error (mCE)nuScenes-C/Semantic Segmentation/mean Corruption Error (mCE)nuScenes-F/16k/APnuScenes-F/16k/AP50nuScenes-F/16k/AP75nuScenes-F/16k/ARnuScenes-F/16k/ARInuScenes-F/16k/ARmnuScenes-F/16k/ARsnuScenes-F/2D Classification/APnuScenes-F/2D Classification/AP50nuScenes-F/2D Classification/AP75nuScenes-F/2D Classification/ARnuScenes-F/2D Classification/ARInuScenes-F/2D Classification/ARmnuScenes-F/2D Classification/ARsnuScenes-F/2D Object Detection/APnuScenes-F/2D Object Detection/AP50nuScenes-F/2D Object Detection/AP75nuScenes-F/2D Object Detection/ARnuScenes-F/2D Object Detection/ARInuScenes-F/2D Object Detection/ARmnuScenes-F/2D Object Detection/ARsnuScenes-F/3D/APnuScenes-F/3D/AP50nuScenes-F/3D/AP75nuScenes-F/3D/ARnuScenes-F/3D/ARInuScenes-F/3D/ARmnuScenes-F/3D/ARsnuScenes-F/3D Object Detection/APnuScenes-F/3D Object Detection/AP50nuScenes-F/3D Object Detection/AP75nuScenes-F/3D Object Detection/ARnuScenes-F/3D Object Detection/ARInuScenes-F/3D Object Detection/ARmnuScenes-F/3D Object Detection/ARsnuScenes-F/Object Detection/APnuScenes-F/Object Detection/AP50nuScenes-F/Object Detection/AP75nuScenes-F/Object Detection/ARnuScenes-F/Object Detection/ARInuScenes-F/Object Detection/ARmnuScenes-F/Object Detection/ARsnuScenes-FB/16k/APnuScenes-FB/16k/AP50nuScenes-FB/16k/AP75nuScenes-FB/16k/ARnuScenes-FB/16k/ARInuScenes-FB/16k/ARmnuScenes-FB/16k/ARsnuScenes-FB/2D Classification/APnuScenes-FB/2D Classification/AP50nuScenes-FB/2D Classification/AP75nuScenes-FB/2D Classification/ARnuScenes-FB/2D Classification/ARInuScenes-FB/2D Classification/ARmnuScenes-FB/2D Classification/ARsnuScenes-FB/2D Object Detection/APnuScenes-FB/2D Object Detection/AP50nuScenes-FB/2D Object Detection/AP75nuScenes-FB/2D Object Detection/ARnuScenes-FB/2D Object Detection/ARInuScenes-FB/2D Object Detection/ARmnuScenes-FB/2D Object Detection/ARsnuScenes-FB/3D/APnuScenes-FB/3D/AP50nuScenes-FB/3D/AP75nuScenes-FB/3D/ARnuScenes-FB/3D/ARInuScenes-FB/3D/ARmnuScenes-FB/3D/ARsnuScenes-FB/3D Object Detection/APnuScenes-FB/3D Object Detection/AP50nuScenes-FB/3D Object Detection/AP75nuScenes-FB/3D Object Detection/ARnuScenes-FB/3D Object Detection/ARInuScenes-FB/3D Object Detection/ARmnuScenes-FB/3D Object Detection/ARsnuScenes-FB/Object Detection/APnuScenes-FB/Object Detection/AP50nuScenes-FB/Object Detection/AP75nuScenes-FB/Object Detection/ARnuScenes-FB/Object Detection/ARInuScenes-FB/Object Detection/ARmnuScenes-FB/Object Detection/ARsnuScenes-to-Pandaset/Domain Adaptation/mIoUnuScenes-to-Pandaset/Source-Free Domain Adaptation/mIoUnuScenes-to-SemanticKITTI/Domain Adaptation/mIoUnuScenes-to-SemanticKITTI/Source-Free Domain Adaptation/mIoUnuScenes-to-SemanticPOSS/Domain Adaptation/mIoUnuScenes-to-SemanticPOSS/Source-Free Domain Adaptation/mIoUnuScenes-to-Waymo Open Dataset/Domain Adaptation/mIoUnuScenes-to-Waymo Open Dataset/Source-Free Domain Adaptation/mIoUnuscenes Camera-Radar/16k/NDSnuscenes Camera-Radar/2D Classification/NDSnuscenes Camera-Radar/2D Object Detection/NDSnuscenes Camera-Radar/3D/NDSnuscenes Camera-Radar/3D Multi-Object Tracking/AMOTAnuscenes Camera-Radar/3D Object Detection/NDSnuscenes Camera-Radar/Multi-Object Tracking/AMOTAnuscenes Camera-Radar/Object Detection/NDSnuscenes Camera-Radar/Object Tracking/AMOTA

Statistics

Papers
2,139
Benchmarks
181

Links

Homepage

Tasks

10-shot image generation16k2D Classification2D Object Detection3D3D Multi-Object Tracking3D Object Detection3D Semantic SegmentationAutonomous VehiclesBird's-Eye View Semantic SegmentationHD semantic map learningIndustrial RobotsInstance SegmentationLIDAR Semantic SegmentationLane DetectionMonocular 3D Object DetectionMotion DetectionMotion PlanningMulti-Object TrackingObject DetectionObject TrackingOnline Vectorized HD Map ConstructionPrediction Of Occupancy Grid MapsSemantic SegmentationSemi-Supervised Semantic SegmentationTrajectory PlanningTrajectory PredictionWeakly supervised Semantic SegmentationWeather Forecasting