datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
waymo_open_dataset_v_1_4_3Ev3DOD-Ev-Waymowaymo_e2eOurs_Waymo_ADGS
Ours_Waymo_ADGS
Private AD-GS preprocessing outputs for ten Waymo Open Dataset scenes.
Access and license
This repository is private. Its contents are derived from the Waymo Open Dataset and remain governed by the Waymo Dataset License Agreement for Non-Commercial Use. Do not grant access to, copy for, or redistribute these files to anyone who has not registered at waymo.com/open and agreed to the applicable terms.
Preprocessing setup
Scenes: 10… See the full description on the dataset page: https://huggingface.co/datasets/Dororo99/Ours_Waymo_ADGS.waymo_webdatasetwaymowaymo_open_dataset_motion_v_1_3_0waymo_open_dataset_v_1_4_2Ours-V2_waymo_ArmGS
Ours-V2_waymo_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 native three-camera decoded RGB PNGs, sky masks, camera-frame manifests, canonical CPU tensor caches, COLMAP mappings and final triangulated point clouds. Intermediate COLMAP databases/images are intentionally omitted. These caches do not include the full original Waymo parquet… See the full description on the dataset page: https://huggingface.co/datasets/Dororo99/Ours-V2_waymo_ArmGS.waymo-ipace-detector-dataset
Waymo I-PACE Vehicle Detection Dataset
YOLO-format object detection dataset for detecting Waymo autonomous vehicles (Jaguar I-PACE) in Austin traffic camera images.
Dataset Structure
├── images/
│ ├── train/ # Training images (JPG)
│ └── val/ # Validation images (JPG)
├── labels/
│ ├── train/ # YOLO format annotations (TXT)
│ └── val/ # YOLO format annotations (TXT)
└── dataset.yaml # YOLO configuration
Label Format
YOLO… See the full description on the dataset page: https://huggingface.co/datasets/EDM25/waymo-ipace-detector-dataset.waymo_open_dataset_v_1_4_2_391_540waymo_vace_train_causal_subset10graid-waymo-unique-wd
GRAID Waymo Perception Dataset Question-Answer Dataset
Paper: GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation
Project Page
Overview
This dataset was generated using GRAID (Generating Reasoning questions from Analysis of Images via Discriminative artificial intelligence), a framework for creating spatial reasoning datasets from object detection annotations, as presented in the linked paper.
GRAID transforms raw object detection data into… See the full description on the dataset page: https://huggingface.co/datasets/kd7/graid-waymo-unique-wd.waymo_open_dataset_v_1_4_2_541_798graid-waymo-unique
GRAID Waymo Perception Dataset Question-Answer Dataset
Paper | Project Page | Code
Overview
This dataset was generated using GRAID (Generating Reasoning questions from Analysis of Images via Discriminative artificial intelligence), a framework for creating spatial reasoning datasets from object detection annotations.
GRAID transforms raw object detection data into structured question-answer pairs that test various aspects of object localization, visual reasoning, spatial… See the full description on the dataset page: https://huggingface.co/datasets/kd7/graid-waymo-unique.waymoV2_FC_sample_letterboxed640x640waymo_recalibrated_posesDownload waymo_multi_view folder, and merge it with extracted waymo data at data/waymo_multi_view
fo_waymo_sample
Dataset Card for waymo-sample
This is a FiftyOne dataset with 199 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("dgural/fo_waymo_sample")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/dgural/fo_waymo_sample.DVGT-waymo
DVGT-waymo
Preprocessed Waymo Open Dataset (Perception v1.4.0) for DVGT training, mirroring the layout of
yiren-lu/DVGT-navsim.
Contents (MoGe-v2 based annotations), splits val + train:
data_annotation/image/moge_v2_large_correct_focal/waymo/ — RGB images (5 cameras)
data_annotation/proj_depth/moge_v2_large_correct_focal/waymo/ — projected LiDAR depth
data_annotation/align_depth/moge_v2_large_correct_focal/waymo/ — MoGe depth aligned to LiDAR scale… See the full description on the dataset page: https://huggingface.co/datasets/yiren-lu/DVGT-waymo.waymo_vace_train_causal_subset5waymo_processed
Processed Waymo Dataset
This dataset contains processed Waymo Open Dataset files for 3D semantic segmentation.
Dataset Contents
This dataset contains processed Waymo Open Dataset files:
Point clouds (coord.npy)
Semantic segmentation labels (segment.npy)
Intensity/strength information (strength.npy)
Pose information (pose.npy)
Points per lidar information (points_per_lidar.npy)
Metadata about all scenes (metadata.parquet)
Processing
This data was processed… See the full description on the dataset page: https://huggingface.co/datasets/Brainkite/waymo_processed.trajectory-prediction-waymo
Waymo Trajectory Prediction
Dataset Description
This dataset contains preprocessed trajectory prediction samples for autonomous driving research,
formatted for use with DiscoBench's TrajectoryPrediction task.
Original Dataset: Waymo Open Motion Dataset
Number of Samples: 850
Format: Pickle files with numpy arrays
Task: Multi-modal trajectory prediction
Dataset Structure
Each sample is a pickle file containing:
obj_trajs (32, 21, 2): Past trajectories of… See the full description on the dataset page: https://huggingface.co/datasets/saeedrmd/trajectory-prediction-waymo.waymo-flow-segpanoptic-waymo
Panoptic Waymo
Dataset Summary
Panoptic Waymo is a high-resolution LiDAR panoptic segmentation benchmark derived from the Waymo Open Dataset. It provides panoptic annotations for the original Waymo Open Dataset training and validation splits, covering 798 training scenes and 202 validation scenes with 15 stuff classes and 6 thing classes.
The benchmark is designed for fine-grained 3D scene understanding and multi-modal perception, leveraging Waymo’s dense… See the full description on the dataset page: https://huggingface.co/datasets/mohangrim/panoptic-waymo.waymo_open_dataset_v_1_4_2_valwaymoqa-videomqa
WaymoQA — VideoQA test subset (mosaic frames)
This repository hosts the video portion of the WaymoQA test split, prepared for
VideoQA evaluation. It contains the multi-view 3x3 mosaic frames for every Waymo
scenario token that carries video questions in the test set.
Contents
File
Description
mosaics.tar.part_aa … mosaics.tar.part_ah
Split archive (8 × 2 GiB) of the mosaic frames
mosaics.tar.part_ai
Final split of the archive
test.jsonl
Full WaymoQA… See the full description on the dataset page: https://huggingface.co/datasets/faraway6/waymoqa-videomqa.Ours_Waymo_ArmGS
Ours_Waymo_ArmGS preprocessing
Derived preprocessing artifacts used by the ArmGS Waymo experiments released in the model repository with the same name.
License and required notice
This derived dataset was made using the Waymo Open Dataset, provided by Waymo LLC under the Waymo Dataset License Agreement for Non-Commercial Use. Access, use, redistribution, and modification are governed by that agreement, including its non-commercial restrictions.
Read… See the full description on the dataset page: https://huggingface.co/datasets/Dororo99/Ours_Waymo_ArmGS.TrackOcc_waymowaymowaymo_vace_val_causal_50