---
license: cc-by-nc-2.0
language:
- en
pretty_name: 'RealEstate360: Panoramic Property Dataset from Zillow'
---
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.

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.
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.
The free trial version includes:

- 500 residential properties
- 13,500+ equirectangular panoramas
- Between 1 and 109 panoramas per property
- Structured metadata and imagery are stored in two relational tables: PROPERTIES and PANORAMAS

All panorama images are hosted externally and accessible via stable public URLs. The full dataset contains over **1.35 million** panoramic images and continues to expand.

### Dataset Description

- **Access:** Free sample dataset
- **Curated by:** https://datahive.ai
- **Language(s) (NLP):** English
- **License:** Creative Commons Non-Commercial 4.0 (CC BY-NC 4.0)


## Uses

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- Train models for room segmentation, furniture classification, or layout prediction using dense panoramic input. Use multi-view panoramic image sets to synthesize full interior spaces, perform scene completion, or infer depth.
- Combine structured property data (e.g., square footage, bedrooms, price) with high-resolution interior panoramas to uncover deeper insights into real estate trends. This dataset supports use cases like modeling how visual features impact pricing, predicting home condition, clustering by interior style, and analyzing design preferences across markets or buyer segments.
- Use room-scale panoramic imagery to develop and evaluate systems for spatial reasoning, path planning, and autonomous navigation. The dataset supports robotics simulation, scene understanding, and virtual pretraining with realistic visual input from diverse indoor environments.
 

## Dataset Structure

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The dataset is delivered as a plain CSV file containing metadata and direct image URLs. Images are hosted on a scalable cloud infrastructure and can be accessed via script or browser.


### Source Data

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Zillow panoramic image data extracted from residential properties across the United States

## Dataset Card Contact

contact@datahive.ai