datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Ours-V2_nuscenes_ArmGS
Ours-V2_nuscenes_ArmGS
Preprocessing artifacts for the 10 selected scenes/logs used by this ArmGS workspace. This is not the entire upstream dataset and not an evaluation/trained-model repository.
Includes selected-scene sky masks, COLMAP mappings and final triangulated point clouds. The original nuScenes v1.0-trainval RGB/LiDAR/metadata are not included and remain required by the matching ArmGS raw-data adapter.
Layout and use
Files retain their… See the full description on the dataset page: https://huggingface.co/datasets/Dororo99/Ours-V2_nuscenes_ArmGS.nuscenes_qa_groupedSingle-DriveLM-NuScenes-VQA
Single-DriveLM-NuScenes VQA Dataset
Updates & News
[03/05/2025] Our latest Trustworthy VLM benchmark AUTOTRUST was build on this dataset
[10/11/2024] VQA Dataset was released
Dataset Description
This is the sub-dataset of DriveLM which only include single object in ego scenes
Uses
For single traffic participant recgonition, segmentation, VQA subtasks of driving scenarios.
Dataset Structure
single_pedestrian
├── images
└──… See the full description on the dataset page: https://huggingface.co/datasets/Chouoftears/Single-DriveLM-NuScenes-VQA.MoRAL-nuscenes-v3MoRAL-nuscenesNuscenes_depth_estimationNuscenes-v1.0-trainval-CAM_FRONTnuScenes-Geography-Data
Spatial Retrieval Augmented Autonomous Driving
For more details about the dataset and the project, please visit Spatial Retrieval Augmented Autonomous Driving.
nuScenes-Geography Dataset
nuScenes-Geography
├── frame_metadata.json
├── pano_metadata.json
├── unavailable_metadata.json
├── sat
│ ├── boston-seaport.png
│ ├── singapore-hollandvillage.png
│ ├── singapore-onenorth.png
│ └── singapore-queenstown.png
└── streetview
├── quality_labels.json
└── panos… See the full description on the dataset page: https://huggingface.co/datasets/SpatialRetrievalAD/nuScenes-Geography-Data.carla-nuscenesGen-nuScenesNuscenes-v1.0-trainval-CAM_FRONT_SweepsDataOne-synthetic-nuscenes-v1.1-sample
51WORLD Synthetic Dataset Usage Documentation
1 Introduction
The 51WORLD systhetic dataset mainly contains camera sensor-related data and LiDAR sensor-related data generated by 51Sim-One. Camera sensor-related data mainly includes images and corresponding semantic segmentation, instance segmentation, depth annotation, and Object Detection annotation; LiDAR sensor-related data mainly includes laser point clouds and annotation of 3Dbboxes, semantic segmentation annotation… See the full description on the dataset page: https://huggingface.co/datasets/51WORLD/DataOne-synthetic-nuscenes-v1.1-sample.nuScenes-NRS
nuScenes-NRS
nuScenes-NRS (nuScenes Nighttime Road Segmentation) is the road-segmentation
label release used by IAF-Net: Illumination-Adaptive Fusion for Low-Light
Urban Road Segmentation. This repository contains the derived labels and
the information needed to reproduce them from an authorized copy of the
official nuScenes data.
What is included
split
scenes
masks
mask resolution
distribution
training
79
3,182
1600 x 900
training/masks.zip… See the full description on the dataset page: https://huggingface.co/datasets/PeterNano/nuScenes-NRS.unstructed_nuScenesNuscenes_Val_GroupNuscenes-Knowledge-Transfernuscenes-cam-front-transfernuscenes_qa_mini_daynuscenes_qa_mini_day_validOcc3D_nuScenes_SatExt
Occ3D-nuScenes-SatExt Dataset Introduction
Introduction
The Occ3D-nuScenes-SatExt dataset (from SA-Occ) is an extension of the Occ3D-nuScenes dataset, integrating satellite imagery with real-time ground-level sensor data to enhance 3D occupancy prediction tasks. This dataset is the first to systematically incorporate satellite data into real-time applications using GPS and IMU for alignment, making significant contributions to the field of autonomous driving.… See the full description on the dataset page: https://huggingface.co/datasets/chenchen235/Occ3D_nuScenes_SatExt.nuscenes_qa_mini_dayVQAttack-NuScenesnuscenes-train-0.1nuscenes3d-0-100-visible-objects-mislabelsnuScenes-Geography-Data
Spatial Retrieval Augmented Autonomous Driving
For more details about the dataset and the project, please visit Spatial Retrieval Augmented Autonomous Driving.
nuScenes-Geography Dataset
nuScenes-Geography
├── frame_metadata.json
├── pano_metadata.json
├── unavailable_metadata.json
├── sat
│ ├── boston-seaport.png
│ ├── singapore-hollandvillage.png
│ ├── singapore-onenorth.png
│ └── singapore-queenstown.png
└── streetview
├── quality_labels.json
└── panos… See the full description on the dataset page: https://huggingface.co/datasets/yu8peng/nuScenes-Geography-Data.nuscenes3d-40-100-visible-objects-mislabelsNuScenes_LidarBevnuscenes3d-no-phantom-objects-mislabelsNuScenesWaypoint3nuscenes
