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Introduction: Why Multi-Camera Video Datasets Matter
As technologies like 3D digital humans, dynamic view generation, film VFX, and 4D reconstruction rapidly advance, traditional single-view datasets can no longer meet the demands of high-fidelity, multidimensional AI training. Tasks requiring spatial continuity, viewpoint transitions, and dynamic scene reconstruction depend critically on high-quality synchronized multi-view video data.
The MultiScene360 Dataset addresses this need by providing real-world, multi-camera synchronized footage, enabling AI models to better learn multi-view consistency and improve the realism of generated outputs.
Key Advantages of MultiScene360 Dataset
Real-world Multi-camera Synchronization
Diverse Actions and Interactions
Optimized for Cutting-edge AI Tasks
Scalable from Research to Production
Core Statistics
Complete Scene Specification
Camera Setup
Free Sample Download:
"Empowering the next generation of interactive media and spatial computing"
About maadaa.ai
We pioneer production-ready Generative AI solutions specializing in multi-modal content generation and synthetic data services:
? Core Offerings:
? 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"
As technologies like 3D digital humans, dynamic view generation, film VFX, and 4D reconstruction rapidly advance, traditional single-view datasets can no longer meet the demands of high-fidelity, multidimensional AI training. Tasks requiring spatial continuity, viewpoint transitions, and dynamic scene reconstruction depend critically on high-quality synchronized multi-view video data.
The MultiScene360 Dataset addresses this need by providing real-world, multi-camera synchronized footage, enabling AI models to better learn multi-view consistency and improve the realism of generated outputs.
Key Advantages of MultiScene360 Dataset
Real-world Multi-camera Synchronization- Captured using 4 synchronized DJI Osmo Action 5 Pro cameras with precise timestamp alignment
- Covers indoor and outdoor scenes with challenging conditions (silhouettes, low-light, occlusions, reflections)
Diverse Actions and Interactions- Includes daily activities like walking, sitting, multi-person interactions, dressing, phone calls
- Emphasizes detailed capture of hand movements, continuous motion, and viewpoint transitions
Optimized for Cutting-edge AI Tasks- Designed for camera path control, view synthesis, and consistent re-rendering
- Directly applicable to 3D digital humans, film character replacement, and VR scene generation
Scalable from Research to Production- 13 ready-to-use scenes (10 core + 3 extended) with 144 videos (20-30GB total)
- Expandable to 200+ scenes with 6-8 camera angles for commercial applications
Core Statistics
| Metric | Details |
|---|---|
| Scenes | 13 (10 base + 3 extended) |
| Cameras per Scene | 4 synchronized units |
| Clip Duration | 10-20 seconds per scene |
| Total Videos | 144 clips |
| Resolution | 1080p @ 30fps |
| Total Size | ~20-30GB |
| ID | Environment | Location | Primary Action | Special Features |
|---|---|---|---|---|
| S001 | Indoor | Living Room | Walk → Sit | Occlusion handling |
| S002 | Indoor | Kitchen | Pour water + Open cabinet | Fine hand motions |
| S003 | Indoor | Corridor | Walk → Turn | Depth perception |
| S004 | Indoor | Desk | Type → Head turn | Upper body motions |
| S005 | Outdoor | Park | Walk → Sit (bench) | Natural lighting |
| S006 | Outdoor | Street | Walk → Stop → 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 |
- Equipment: 4 identical cameras (DJI Osmo Action 5 Pro) fixed at 1.5m height
- Configuration: Cross-angled setup with 20-30% FOV overlap for full coverage
- 3D Digital Humans: Improve cross-view naturalness of facial/body animations
- Film VFX: Enable high-fidelity virtual character viewpoint switching
- 4D Reconstruction: Dynamic 3D scene modeling over time (e.g., crowd simulation)
- AI Directing Systems: Train automated camera selection for virtual production
Free Sample Download:- Visit and submit basic information (name/email) for instant download access
Feedback Rewards: - Users who provide usage feedback qualify for free extended dataset access
Custom Requests: - For expanded datasets (200+ scenes) or specialized conditions, contact contact@maadaa.ai
"Empowering the next generation of interactive media and spatial computing"
About maadaa.ai
We pioneer production-ready Generative AI solutions specializing in multi-modal content generation and synthetic data services:
? Core Offerings:
- Multi-view Video Generation: Turn sparse inputs into 360° dynamic scenes
- 3D Human Synthesis: Photorealistic digital humans with motion transfer
- Scene Reconstruction as a Service: Instant 3D environments from video inputs
- Synthetic Data Engine: Custom datasets for vision models (automatically labeled)
? 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"