Hotel Image Tagging Computer Vision Project

ImageTaggingWorkspace

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Description

Here are a few use cases for this project:

  1. Hotel Booking Websites: The "Hotel Image Tagging" model can be used by hotel booking websites to automatically tag and categorize room images based on their features (e.g. AC, TV, bed types, etc.), thus improving image search and filtering options for users while they search for suitable accommodations.

  2. Virtual Hotel Tours: Hotel businesses can use the model to create interactive virtual tours of their rooms and facilities. The computer vision model can identify and highlight the key amenities in each space (e.g., sofa, chair, and TV), enhancing the virtual tour experience for potential guests.

  3. Hotel Inventory Management: Hotels could leverage the "Hotel Image Tagging" model to monitor their room amenities for maintenance purposes. By processing images regularly, the model can help identify worn or damaged items (chairs, sofas, etc.) that need replacement, improving overall customer satisfaction.

  4. Smart Hotel Recommendation System: Travel agencies or hotel booking websites can implement an AI-driven recommendation system that uses the computer vision model to determine which amenities are favored by a particular user. By analyzing the history of hotel images viewed or booked by the user, the system can make personalized hotel suggestions that cater to their preferences.

  5. Hotel Marketing and Advertising: The "Hotel Image Tagging" model can be an asset in producing targeted marketing campaigns or sales promotions. It can analyze the popularity of specific amenities within the hotel's photos and recommend which features to highlight in promotional materials to attract more guests.

Supervision

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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{
                            hotel-image-tagging-bamjz_dataset,
                            title = { Hotel Image Tagging Dataset },
                            type = { Open Source Dataset },
                            author = { ImageTaggingWorkspace },
                            howpublished = { \url{ https://universe.roboflow.com/imagetaggingworkspace/hotel-image-tagging-bamjz } },
                            url = { https://universe.roboflow.com/imagetaggingworkspace/hotel-image-tagging-bamjz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { dec },
                            note = { visited on 2024-11-08 },
                            }
                        
                    

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