Digital colour assistant Object Detection Dataset and Pre-Trained Model by Datahunt

Images

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Explore Dataset

Here are a few use cases for this project:

Interior Design Planning: The model can be used to create an interactive tool for interior designers to better visualize their concepts. By identifying specific objects in an image, it would assist in rearranging furniture, choosing suitable wall colors, positioning artworks, etc., in a digital prototype of a space.
E-commerce Recommendation: Retailers could use the model to recommend products to their customers. By identifying furniture and other items in a customer's current setup, e-commerce platforms can suggest products that match the customers' style and living space.
Real Estate Virtual Tours: Real estate agents could use this model to enhance their virtual tours. The model can identify individual elements in a property, allowing potential buyers to better understand the space's layout and even plan their furniture arrangement.
Autonomous Cleaning Robots: This model can be used in smart home devices such as autonomous vacuum cleaners. By accurately identifying furniture and other items, the robot can navigate through a space more effectively, avoiding obstacles and ensuring a thorough job.
Home Inventory Management: The model could be used to build an application for home inventory management. It could be used to automatically identify and keep track of items in different rooms, aiding in organizing and locating possessions, or preparing insurance documents.

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{
                            digital-colour-assistant_dataset,
                            title = { Digital colour assistant Dataset },
                            type = { Open Source Dataset },
                            author = { Datahunt },
                            howpublished = { \url{ https://universe.roboflow.com/datahunt/digital-colour-assistant } },
                            url = { https://universe.roboflow.com/datahunt/digital-colour-assistant },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }