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MultiScene360 Dataset

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

πŸ“Œ Overview

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

πŸ’‘ Key Applications:
βœ” Video generation & view synthesis
βœ” 3D reconstruction & neural rendering
βœ” Digital human animation systems
βœ” Virtual/augmented reality development

πŸ“Š Dataset Specifications (Public Version)

Category Specification
Scenes 10 base + 3 extended scenes
Scene Duration 10-20 seconds each
Camera Views 4 synchronized angles per scene
Total Video Clips ~144
Data Volume 20-30GB (1080p@30fps)

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

πŸŒ† Complete Scene Specification

ID Environment Location Primary Action Special Features
S001 Indoor Living Room Walk β†’ Sit Occlusion handling
S002 Indoor Kitchen Pour water + Open cabinet Fine hand motions
S003 Indoor Corridor Walk β†’ Turn Depth perception
S004 Indoor Desk Type β†’ Head turn Upper body motions
S005 Outdoor Park Walk β†’ Sit (bench) Natural lighting
S006 Outdoor Street Walk β†’ Stop β†’ Phone check Gait variation
S007 Outdoor Staircase Ascend stairs Vertical movement
S008 Indoor Corridor Two people passing Multi-person occlusion
S009 Indoor Mirror Dressing + mirror view Reflection surfaces
S010 Indoor Empty room Dance movements Full-body dynamics
S011 Indoor Window Phone call + clothes adjust Silhouette + semi-reflections
S012 Outdoor Shopping street Walking + window browsing Transparent surfaces + crowd
S013 Indoor Night corridor Walking + light switching Low-light adaptation

πŸŽ₯ 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

πŸ” Suggested Research Directions

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

πŸš€ Access Information

🎯 Sample Download Here

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

πŸ’Ό Commercial Inquiries: [email protected]

Usage Rights:
βœ” Free for academic/commercial use
βœ” 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: κ”· High-quality dataset collection & annotation tailored for LLMs and diffusion models κ”· Scenario-based human feedback (RLHF/RLAIF) to enhance model alignment κ”· One-stop data management through our MaidX platform for streamlined model training

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

Empowering the next generation of interactive media and spatial computing*

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