Object-Detection Object Detection Dataset and Pre-Trained Model by Fast

Images

2548 images

Explore Dataset

Here are a few use cases for this project:

Interior Design Planning: An app could use this model to help users visualize different furniture arrangements within their homes. The model could identify specific types of furniture in an image and provide suggestions for rearrangement or replacement pieces.
Augmented Reality Shopping: E-commerce companies could use the model in their shopping apps to allow customers to virtually place furniture in their homes before purchase, improving their buying experience.
Home Inventory Management: A home management app could allow users to take pictures of their rooms, and the model would help categorize and track furniture for insurance or organizational purposes.
Gaming and Virtual Reality: This model could be used to create more realistic and immersive virtual or gaming environments, by recognizing and replicating real-world furniture designs within the virtual space.
Assisting visually impaired people: An application based on this model could recognize and describe different pieces of furniture in the surrounding environment to assist visually impaired people navigate their space safely and efficiently.

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{
                            object-detection-9bhsk_dataset,
                            title = { Object-Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Fast },
                            howpublished = { \url{ https://universe.roboflow.com/fast-kqylt/object-detection-9bhsk } },
                            url = { https://universe.roboflow.com/fast-kqylt/object-detection-9bhsk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-25 },
                            }