nurec
Datasets
All datasets matching “nurec”PhysicalAI-Autonomous-Vehicles-NuRec
task_categories:
- robotics
tags:
- physicalAI
Find the 1500+ scenes in the sample_set/26.04_release folder.
Dataset Description:
Neural reconstructed dataset that carries 3D reconstructed driving scenes. The scenes are about 20 second long and stored in form of usdz files, along with respective xodr map files, surface mesh. The reconstructions were generated using 6 camera views (front-wide 120 deg, front-tele 30 deg, cross right/left 120 deg and rear right/left… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles-NuRec.PhysicalAI-Robotics-NuRec
Dataset Description
The Physical AI NuRec dataset seeks to empower robotic researchers to build the next generation of physical AI based end-to-end robotic models.
This dataset includes various 3DGUT in USD files that can be loaded in Isaac Sim. Some datasets also include a mesh and occupancy map. The Mesh components are used for collision detection while the 3DGUT components provide realistic rendering. The asset can also be used with Isaac Sim Extensions like MobilityGen for… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-NuRec.Nurec_eval_v2
Nurec_eval_v2 — 59 OOD-longtail scenes (MADS schema, trajdata-compatible)
59 NRE 26.02 closed-loop eval scenes with HD-map data packaged in the MADS schema that trajdata's populate_vector_map() reads. Drop-in usable by NVlabs/alpasim — when you call Artifact(usdz).map, you get back a fully-populated VectorMap (lanes / road edges / wait lines) and the driver model gets lane-aware input.
What changed vs v1 (Nurec_eval)
v1 (Nurec_eval)
v2 (this)
Map artifact… See the full description on the dataset page: https://huggingface.co/datasets/luuuulinnnn/Nurec_eval_v2.PhysicalAI-NuRec-PPISP
PPISP Dataset
Dataset Description:
The PPISP dataset accompanies the work "PPISP: Physically-Plausible Compensation and Control of Photometric Variations in Radiance Field Reconstruction". It contains object-centric scene captures of four outdoor scenes, each captured with three different cameras, for multi-view 3D reconstruction and novel view synthesis. The photos were captured with exposure bracketing of +/-2 EV and re-processed with automatic exposure and color… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-NuRec-PPISP.NuRec-AV-Object-Benchmark
PhysicalAI Autonomous Vehicles NuRec-AV-Object-Benchmark
Dataset Description
The NuRec-AV-Object-Benchmark is an object-centric benchmark for evaluating image-to-3D reconstruction systems on autonomous vehicle data. Introduced alongside Asset Harvester, it is designed to support systematic evaluation of in-the-wild AV object reconstruction under realistic viewpoint bias and sensor noise.
Unlike curated object datasets with dense coverage, this benchmark reflects the… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/NuRec-AV-Object-Benchmark.Nurec_eval
Nurec_eval — NRE Closed-Loop Eval Set with HD Map
59 OOD-longtail scenes for AlpaSim closed-loop evaluation, exported from NVIDIA NRE 26.02 and augmented with HD-map artifacts (lane graph, road boundaries, crosswalks) so models can be evaluated with full map context — not just geometry.
What's inside each pai_<uuid>.usdz
File
Purpose
default.usda
USDZ entry point
checkpoint.ckpt
Neural reconstruction (NRE-26.02 gsplat) weights
parsed_config.yaml
NRE… See the full description on the dataset page: https://huggingface.co/datasets/luuuulinnnn/Nurec_eval.