15 datasets

Hugging Face Datasets2026 · Image

Mira-Scene Dataset This repository contains the public data used by the Mira-Scene single-image 3D scene reconstruction project: the BlendSwap evaluation benchmark and the training releases derived from Objaverse Outpaint and 3D-FRONT. The benchmark and training data are published in the same Hugging Face dataset repository. The training data is distributed as verified tar.gz shards. The archives

Hugging Face Datasets2026 · dataset

OmniScene Photorealistic synthetic dataset (rendered in NVIDIA Isaac Sim) used to train X-Lens. Each scene is captured by a 6-camera rig — 4 fisheye + 2 pinhole — with metric ground-truth depth, so a single sample already contains the pinhole / fisheye / heterogeneous mix the model targets. Packaging To stay friendly to the Hub, each scene is a single .tar (contents are already compressed JPG/PNG/

Hugging Face Datasets2026 · Image

MV2 Dataset MV2 is a multi-view and multi-vehicle urban driving dataset designed for research in novel view synthesis, neural rendering, 3D reconstruction, cross-view scene understanding, and autonomous-driving perception. The dataset contains synchronized image sequences captured from multiple viewpoints, including ground vehicles and aerial views, along with camera parameters required for geomet

Hugging Face Datasets2026 · dataset

HERCULES — Multi-Robot Photorealistic Synthetic SLAM Dataset A photorealistic synthetic dataset for multi-robot SLAM and collaborative perception — 2 aerial + 2 ground robots across 4 large-scale environments. 🌐 Project Website  ·  🔬 LunarLab @ Georgia Tech  ·  📄 Paper (arXiv) The four environments Australian Outback — Center Australian Outback — Perimeter City Block Forest… Se

Hugging Face Datasets2026 · Image

Indoor Smartphone 3D Reconstruction Control Dataset Набор данных подготовлен для сравнения методов восстановления 3D-сцены в помещении по короткому видео со смартфона. Он содержит три небольшие indoor-сцены, очищенные публикационные видеоролики, подвыборки кадров, ручную CVAT-разметку и физически измеренные контрольные расстояния. Датасет предназначен для оценки геометрической согласованности резу

Hugging Face Datasets2026 · Image

Event-Guided Video Depth Estimation Workshop Dataset This dataset is a mirrored and aligned workshop-ready version of the DVD event-guided video depth estimation data. It packages each scene into a canonical folder tree that aligns: low-light RGB frames per-frame event slices a scene-level lowlight_event.npz the matched depth ground truth copied from inference_results/*/normal/depth.npz The datase

Hugging Face Datasets2026 · Text · gated

Stera-10M Visualizer: https://platform.fpvlabs.ai/dataset/stera-10m/viz Dataset Summary Stera-10M is an open egocentric multimodal dataset for embodied AI, robotics, world models, and spatial intelligence, captured end-to-end on commodity iPhone Pro hardware through the open Stera platform. It contains 200 hours of synchronized first-person recordings across 500+ sessions from 20 contributors in 2

Hugging Face Datasets2026 · Image

CM-EVS: A Coverage-Curated Panoramic RGB-D Dataset for Indoor Scene Understanding CM-EVS is a curated panoramic RGB-D dataset built under a single principle: maximize the geometric coverage of a 3D scene with the fewest equirectangular (ERP) frames possible. The release is structured as one redistributable Blender indoor data archive plus four license-aware adapter packages that regenerate matched

Hugging Face Datasets2026 · Image

PRISM: Polarimetric Road-surface Intelligent Sensing and Measurement Dataset Anonymous submission to NeurIPS 2026 Evaluations & Datasets Track. Author identities and the camera-ready release URL will be revealed at the camera-ready stage. PRISM is a polarimetric road-surface dataset and benchmark of 47,098 time-synchronized frames combining trichromatic linear polarization, co-boresighted RGB, 128

Hugging Face Datasets2026 · dataset

PhysInOne: Visual Physics Learning and Reasoning in One Suite vLAR Group | The Hong Kong Polytechnic University | Syai Singapore | Meta CVPR 2026 🧭 Navigation 📌 Summary 🚀 Release Timetable 📦 Repositories & Downloads 📊 Data Splits 🧱 3D Assets 🛠️ Data Processing 🏆 Leaderboard Evaluation Data 🎞️ Rendered Data    1. Download Scripts    2. Install Dependencies… See the ful

Hugging Face Datasets2026 · dataset

RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction RealX3D is a real-world benchmark dataset for multi-view 3D reconstruction under challenging capture conditions. It provides multi-view RGB images (both processed JPEG and Sony RAW), COLMAP sparse reconstructions, and high-precision 3D ground-truth geometry (point clouds, meshes, and rendered depth map

Hugging Face Datasets2026 · dataset

LingBot-Depth Dataset Self-curated RGB-D dataset for training LingBot-Depth, a masked depth modeling approach (arxiv:2601.17895). Each sample contains an RGB image, raw sensor depth, and ground truth depth. Total size: 2.71 TBDepth scale: millimeters (mm), stored as 16-bit PNGLicense: CC BY-NC-SA 4.0 Sub-datasets Name Description Samples RobbyReal Real-world indoor scenes captured with multiple RG

Hugging Face Datasets2025 · Image · gated

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 ren

Hugging Face Datasets2025 · Image

NVIDIA Physical AI SimReady Warehouse OpenUSD Dataset Dataset Version: 1.1.0 Date: May 18, 2025 Author: NVIDIA, Corporation License: CC-BY-4.0 (Creative Commons Attribution 4.0 International) Contents This dataset includes the following: This README file A CSV catalog that enumerates all of the OpenUSD assets that are part of this dataset including a sub-folder of images that showcase each 3D asse

Hugging Face Datasets2022 · Image

The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect.