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README.md
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pretty_name: 'RealEstate360: Panoramic Property Dataset from Zillow'
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This free trial dataset contains high-resolution Zillow panoramic image data extracted from 500 residential properties across the United States. Each property is paired with structured metadata - including geolocation, square footage, pricing, and listing details - and is associated with multiple 360° interior panoramas. These images provide rich spatial and visual context, making the dataset highly suitable for AI development, spatial scene understanding, and real estate analytics.
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Unlike cubemap-based datasets, where each panorama is split into directional tiles, this dataset uses a single equirectangular image per panorama, capturing the full 360° field of view from a single interior location. This format ensures compatibility with standard vision and XR frameworks and supports straightforward use in both supervised and generative modeling tasks.
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pretty_name: 'RealEstate360: Panoramic Property Dataset from Zillow'
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This is a sample dataset. To access the full version or request any custom dataset tailored to your needs, contact DataHive at contact@datahive.ai.
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This free trial dataset contains high-resolution Zillow panoramic image data extracted from 500 residential properties across the United States. Each property is paired with structured metadata - including geolocation, square footage, pricing, and listing details - and is associated with multiple 360° interior panoramas. These images provide rich spatial and visual context, making the dataset highly suitable for AI development, spatial scene understanding, and real estate analytics.
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Unlike cubemap-based datasets, where each panorama is split into directional tiles, this dataset uses a single equirectangular image per panorama, capturing the full 360° field of view from a single interior location. This format ensures compatibility with standard vision and XR frameworks and supports straightforward use in both supervised and generative modeling tasks.
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