WCM b3d Object Detection Dataset and Pre-Trained Model by TIP b3d

Images

7243 images

Explore Dataset

Here are a few use cases for this project:

Home Décor and Furniture E-commerce: This model could be utilized by online furniture retailers to automatically categorize and tag their inventory based on the image analysis. It can identify and differentiate various types of beds making it easier for customers to find what they're looking for.
Content Moderation: Social media or other platforms that deal with user-generated content can deploy this model to filter out or flag images that contain beds, if their guidelines call for restrictions around such content.
Assisted Living Technologies: The model could be used in assisted living or care homes to monitor resident movements. An automated system might detect when a person exits or enters a bed, triggering certain actions or alerts.
Virtual Reality/Augmented Reality: In VR/AR applications, the model might be used to identify beds in a person's real environment creating an interactive or immersive experience. For example, a sleep wellness mobile app may use it for setting up meditation or sleep routines around the user's real bed in an augmented reality scenario.
Hotel/Motel Industry: In the hospitality sector, this model could be harnessed to automatically monitor the status of rooms. For example, a system might detect whether beds are occupied, empty, or need to be serviced, providing real-time data to enhance operational efficiency.

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{
                            wcm-b3d_dataset,
                            title = { WCM b3d Dataset },
                            type = { Open Source Dataset },
                            author = { TIP b3d },
                            howpublished = { \url{ https://universe.roboflow.com/tip-b3d/wcm-b3d } },
                            url = { https://universe.roboflow.com/tip-b3d/wcm-b3d },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-18 },
                            }