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pools Computer Vision Project

Idan Kideckel

Updated a year ago

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Instance Segmentation Model

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Description

Here are a few use cases for this project:

  1. Home and Garden Websites: This model could be utilized by home improvement, real estate and gardening websites for image categorization. It can help in distinguishing images of outdoor spaces with pools from those without, improving search functionality and personalization of content based on user preference.

  2. Swimming Pool Installation and Maintenance Business: The model can be employed by these businesses to identify different types of pools from customer-shared images. This could help in providing accurate estimates for installation or maintenance services.

  3. Augmented Reality (AR) Apps: This model could be integrated in AR apps for landscaping or home improvement. Users can visualize how different types of pools might look in their outdoor spaces.

  4. Municipal Planning: Local governments or urban planners could use the model to identify houses with pools in aerial or street view images. This could assist in accurate planning for water usage or safety regulations enforcement.

  5. Residential Insurance: Insurance companies could use the model to identify pools from aerial property images. This could contribute to more accurate underwriting of policies by understanding accompanying risks and liabilities.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            pools-axocu_dataset,
                            title = { pools Dataset },
                            type = { Open Source Dataset },
                            author = { Idan Kideckel },
                            howpublished = { \url{ https://universe.roboflow.com/idan-kideckel-67kqi/pools-axocu } },
                            url = { https://universe.roboflow.com/idan-kideckel-67kqi/pools-axocu },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-21 },
                            }

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