Datasets
Video

Interior Environments

Footage captured inside real buildings across the full spectrum of interior types, from residential rooms and office floors to retail stores, hotel lobbies, warehouses, and industrial facilities. The set covers static and camera-in-motion capture, preserving spatial depth, furniture layout, surface materials, and the ambient lighting conditions that define how interiors actually look to a navigating agent or perception system.

Hours110K+
Environment types7+
Lighting conditions4+

Training Use Cases

Indoor scene understanding and semantic segmentation
Robot navigation and spatial mapping in interior spaces
Depth estimation and 3D reconstruction from monocular interior video
Interior scene generation and room layout synthesis
Key Highlights
7+ environment categories covering residential, office, retail, hospitality, industrial, healthcare, and education spaces
Both static and camera-in-motion capture for scene-level and navigation-oriented use cases
Spatial depth and furniture layout preserved with consistent framing of floor, wall, and ceiling planes
Natural, artificial, mixed, and low-light conditions represented across all interior types

Metadata Fields

durationLength of clip in HH:MM:SS
resolutionPixel dimensions (e.g., 1920x1080, 3840x2160)
frame_rateFrames per second (e.g., 24, 30, 60, 120)
contains_audioWhether the clip carries an audio track (boolean)
primary_categoryDominant content category assigned to a video
environment_typeresidential | office | retail | hospitality | industrial | healthcare | education
camera_motionstatic | pan | walkthrough | drone
lighting_typenatural | artificial | mixed | low_light
occupancyempty | occupied | crowded