Datasets:
Upload residential_lived_environment_dataset_v1.zip
Browse filesThis dataset contains real-world images of a residential master bedroom captured in active daily use.
The environment is non-staged and reflects authentic living conditions, including furniture, storage overflow, temporary clutter, and constrained navigation paths.
The dataset is designed to help AI systems learn from realistic residential environments, rather than idealized or staged interiors.
Dataset Description
Environment
Residential master bedroom
Private living space
Real household conditions
Non-staged imagery
Visual Characteristics
Natural and mixed indoor lighting
Moderate clutter and storage density
Floor-level obstacles
Narrow and partially obstructed walking paths
Furniture proximity and spatial compression
Included Objects
Bed and bedding
Dressers and storage furniture
Laundry baskets and bags
Clothing items
Storage bins and containers
Household items on floors and surfaces
Temporary obstructions (e.g., ironing board, bags)
Intended Use
This dataset is suitable for:
AI training and evaluation
Indoor scene understanding
Robotics and autonomous navigation
Accessibility and mobility analysis
Residential safety and risk modeling
Smart-home and assistive technology research
The dataset is particularly valuable for applications that require understanding realistic, lived-in spaces, which are underrepresented in many existing datasets.
Limitations
Single-room environment (master bedroom)
Single residential location
Does not represent all cultural or architectural variations
This dataset focuses on depth and realism, not breadth.
Privacy and Ethics
No visible children
No clearly identifiable human faces
No readable personal documents
No sensitive personal information
Images were intentionally curated to preserve privacy while maintaining environmental realism.
Licensing
The dataset is provided for AI training, research, and evaluation purposes.
Commercial and non-commercial use is permitted in accordance with the license specified by the dataset contributor.
Users are responsible for ensuring compliance with applicable laws and ethical AI practices when using this dataset.
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