BOH_ROBO Object Detection Dataset and Pre-Trained Model by Shubham Gajjar

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Explore Dataset

Here are a few use cases for this project:

Warehouse Automation: BOH_ROBO can be used to streamline inventory management in warehouses by automatically identifying and tracking the location of back-of-house (BOH) items, such as carts, boxes, and storage units, using cameras installed throughout the facility.
Retail Store Organization: BOH_ROBO can assist retail store employees in maintaining and organizing the backroom by recognizing BOH classes and sending notifications when items are misplaced or need restocking on the sales floor.
Theft Prevention: By detecting and monitoring BOH items and personnel, BOH_ROBO can enhance security in warehouses or retail stores, alerting staff or security personnel of any unauthorized access or movement.
Efficient Workforce Allocation: BOH_ROBO can be utilized in monitoring employee activities in warehouse or storage areas, analyzing productivity and workflow by detecting which BOH items are being moved and by how many employees. This information can be used to optimize workforce allocation and identify areas of improvement.
Safety Compliance: By identifying BOH classes, BOH_ROBO can help enforce safety protocols in warehouses, factories, or retail environments by detecting improper handling, storage, or stacking of items, sending alerts to supervisors or initiating corrective actions.

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{
                            boh_robo_dataset,
                            title = { BOH_ROBO Dataset },
                            type = { Open Source Dataset },
                            author = { Shubham Gajjar },
                            howpublished = { \url{ https://universe.roboflow.com/shubham-gajjar/boh_robo } },
                            url = { https://universe.roboflow.com/shubham-gajjar/boh_robo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-07-27 },
                            }