Yolo Object Object Detection Dataset and Pre-Trained Model by Shivam Sharma

Images

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Explore Dataset

Here are a few use cases for this project:

Furniture Inventory Management: This model can be used in retail scenarios or warehouses to automatically count and differentiate various types of furniture (chair, bed, swivel chair, sofa, table). Using images or video feed from a warehouse, this model could help in effectively managing inventory, controlling stock and classifying new entries.
Virtual Reality (VR) and Augmented Reality (AR): Computer games or AR apps could use this model to recognize items in the real-world environment and incorporate those objects into the virtual world, providing a more immersive experience.
Visual Assistance for Visually Impaired: A mobile app could use this model to identify and describe different types of furniture around visually impaired users, helping them navigate unfamiliar environments or their daily activities.
Smart Surveillance: The model could be used to track movement of furniture in videos or security camera footage. This can be useful in detecting burglars or simply tracking the utilization of furniture in offices or public spaces.
Home Decor Applications: Such model can be used in applications that provide furniture arrangement recommendations. By identifying the current furniture in the room, the app can make suggestions for placement or additional furniture to complement existing pieces.

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{
                            yolo-object-h5pku_dataset,
                            title = { Yolo Object Dataset },
                            type = { Open Source Dataset },
                            author = { Shivam Sharma },
                            howpublished = { \url{ https://universe.roboflow.com/shivam-sharma/yolo-object-h5pku } },
                            url = { https://universe.roboflow.com/shivam-sharma/yolo-object-h5pku },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2024-04-20 },
                            }