CoolFace
Datasetpublic

Eric-maadaa/Multisence360_Dataset

MultiScene360 Dataset A Real-World Multi-Camera Video Dataset for Generative Vision AI 📌 Overview The MultiScene360 Dataset is designed to advance generative vision AI by providing synchronized multi-camera footage from real-world environments. 💡 Key Applications:✔ Video generation & view synthesis✔ 3D reconstruction & neural rendering✔ Digital human animation systems✔ Virtual/augmented reality development 📊 Dataset Specifications (Public… See the full description on the dataset page: https://huggingface.co/datasets/Eric-maadaa/Multisence360_Dataset.

sourceHugging Facecc-by-sa-4.0updated 1y agoView on Hugging Face
3likes390downloads
Dataset Card

MultiScene360 Dataset

A Real-World Multi-Camera Video Dataset for Generative Vision AI

📌 Overview

The MultiScene360 Dataset is designed to advance generative vision AI by providing synchronized multi-camera footage from real-world environments.

💡 Key Applications: ✔ Video generation & view synthesis ✔ 3D reconstruction & neural rendering ✔ Digital human animation systems ✔ Virtual/augmented reality development

📊 Dataset Specifications (Public Version)

CategorySpecification
Scenes10 base + 3 extended scenes
Scene Duration10-20 seconds each
Camera Views4 synchronized angles per scene
Total Video Clips~144
Data Volume20-30GB (1080p@30fps)

Commercial version available with 200+ scenes and 6-8 camera angles

🌆 Complete Scene Specification

IDEnvironmentLocationPrimary ActionSpecial Features
S001IndoorLiving RoomWalk → SitOcclusion handling
S002IndoorKitchenPour water + Open cabinetFine hand motions
S003IndoorCorridorWalk → TurnDepth perception
S004IndoorDeskType → Head turnUpper body motions
S005OutdoorParkWalk → Sit (bench)Natural lighting
S006OutdoorStreetWalk → Stop → Phone checkGait variation
S007OutdoorStaircaseAscend stairsVertical movement
S008IndoorCorridorTwo people passingMulti-person occlusion
S009IndoorMirrorDressing + mirror viewReflection surfaces
S010IndoorEmpty roomDance movementsFull-body dynamics
S011IndoorWindowPhone call + clothes adjustSilhouette + semi-reflections
S012OutdoorShopping streetWalking + window browsingTransparent surfaces + crowd
S013IndoorNight corridorWalking + light switchingLow-light adaptation

🎥 Camera Configuration

Physical Setup:

340569F8-147C-467C-B625-387F6D1531B6

Technical Details:

  • —Cameras: DJI Osmo Action 5 Pro (4 identical units)
  • —Mounting: Tripod-stabilized at ~1.5m height
  • —Distance: 2-3m from subject center
  • —FOV Overlap: 20-30% between adjacent cameras

🔍 Suggested Research Directions

  1. 1.Cross-view consistency learning
  2. 2.Novel view synthesis from sparse inputs
  3. 3.Dynamic scene reconstruction
  4. 4.Human motion transfer between viewpoints

🚀 Access Information

🎯 [Sample Download Here](https://madacode.file.core.windows.net/root/360/detaset_sample_part.zip?sv=2023-01-03&st=2025-05-06T08%3A56%3A56Z&se=2028-01-07T08%3A56%3A00Z&sr=f&sp=r&sig=5R2FrdBqw35HIF0r2TaUxAsr0mz5h7oKDUHFFpkD8ik%3D)

✨ Free Full Dataset Download: https://maadaa.ai/multiscene360-Dataset

💼 Commercial Inquiries: contact@maadaa.ai

Usage Rights: ✔ Free for academic/commercial use ✔ License: Attribution-NonCommercial-ShareAlike 4.0 International

About maadaa.ai

Founded in 2015, maadaa.ai is a pioneering AI data service provider specializing in multimodal data solutions for generative AI development. We deliver end-to-end data services covering text, voice, image, and video datatypes – the core fuel for training and refining generative models.

Our Generative AI Data Solution includes: ꔷ High-quality dataset collection & annotation tailored for LLMs and diffusion models ꔷ Scenario-based human feedback (RLHF/RLAIF) to enhance model alignment ꔷ One-stop data management through our MaidX platform for streamlined model training

Why Choose Us: ✓ Reduce real-world data collection costs by 70%+ ✓ Generate perfectly labeled training data at scale ✓ API-first integration for synthetic pipelines

Empowering the next generation of interactive media and spatial computing*