Project Zillow Object Detection Dataset and Pre-Trained Model by Fred

Images

4000 images

Explore Dataset

Here are a few use cases for this project:

Real Estate Property Analysis: The "Project Zillow" computer vision model can be used by real estate websites and agencies to automatically analyze and categorize property images, accurately identifying property features such as docks, swimming pools, and boats. This will help potential buyers find homes with their desired features more easily, improving user experience on real estate platforms.
Coastal City Planning: Urban planners and city governments in coastal areas can use "Project Zillow" to analyze satellite and aerial images of their cities, identifying structures and features like docks, boats, and solar panels. This information can be used for better infrastructure planning, coastal zone management, and tracking renewable energy adoption.
Environmental Impact Assessment: Environmental agencies and organizations can use "Project Zillow" to monitor the presence of docks, boats, and solar panels in ecological zones, sensitive water bodies, and coastal areas. This information will help assess the impact of human activities on the environment to promote sustainable development and marine conservation efforts.
Insurance and Risk Assessment: Insurance companies can use "Project Zillow" to automatically assess property features and associated risks for houses in their database. By identifying docks, swimming pools, boats, and solar panels, the model can help provide more accurate insurance premiums based on these property features and their impact on potential property damage or risk.
Tourism and Vacation Rental Industry: Vacation rental platforms can use "Project Zillow" to automatically identify and highlight key amenities like docks, swimming pools, boats, and solar panels in rental property listings. This will help guests quickly find the ideal rental property based on their preferences, ultimately increasing customer satisfaction and booking rates.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            project-zillow_dataset,
                            title = { Project Zillow Dataset },
                            type = { Open Source Dataset },
                            author = { Fred },
                            howpublished = { \url{ https://universe.roboflow.com/fred-qftbx/project-zillow } },
                            url = { https://universe.roboflow.com/fred-qftbx/project-zillow },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }