Eric-maadaa/ReCamMaster_REAL

recammaster_based_multi_camera_video_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)

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

🌆 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 Configuration

Physical Setup:
cam01──────cam02 \ / Subject /
cam04──────cam03

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

🚀 Access Information

🎯 FULL Dataset Download Here: https://madacode.file.core.windows.net/root/360/MultiScene360%20Dataset.zip?sv=2023-01-03&st=2025-05-06T09%3A23%3A15Z&se=2028-01-07T09%3A23%3A00Z&sr=f&sp=r&sig=KnyHrAfeeCIpufeALFYRDAWDZ7W1F7hGUDToA26y9HQ%3D

💼 Commercial Inquiries: [email protected]
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%+
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✓ API-first integration for synthetic pipelines

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