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
- 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
Dataset Specifications
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 |
Complete Scene Specification
| 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 |
Camera Setup
- 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
Potential Applications
- 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
How to Access the Dataset
1️⃣ Free Sample Download:
- Visit https://maadaa.ai/multiscene360-Dataset and submit basic information (name/email) for instant download access
2️⃣ Feedback Rewards:
- Users who provide usage feedback qualify for free extended dataset access
3️⃣ 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"
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