Open Dataset: A Real-World Multi-Camera Video Dataset

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:

May 12, 2025 - 06:08

Open Dataset: A Real-World Multi-Camera Video Dataset

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: