Better-Bakken Object Detection Dataset and Pre-Trained Model by DeliverYves

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Explore Dataset

Here are a few use cases for this project:

Recycling Industry: "Better-Bakken" can be utilized in recycling plants where it will help sort out full bottles from empty ones efficiently. This will assist in reducing human efforts and errors, reduce cost, and increase processing speed.
Beverage Production Lines: This AI can be used in beverage industries to find empty bottles on production lines to reduce production errors and streamline the production process.
Waste Management Systems: The model could be used in smart waste management solutions to identify and separate full and empty bottles, especially in public spaces like parks or events.
Retail Inventory Management: In retail stores, the model can help in managing inventory by quickly identifying full and empty bottles, thus reducing manual effort and improving efficiency.
Smart Home Appliances: In smart fridges, Better-Bakken can alert users when they are out of a certain beverage, by identifying empty bottles and triggering a re-order or notification.

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{
                            better-bakken_dataset,
                            title = { Better-Bakken Dataset },
                            type = { Open Source Dataset },
                            author = { DeliverYves },
                            howpublished = { \url{ https://universe.roboflow.com/deliveryves/better-bakken } },
                            url = { https://universe.roboflow.com/deliveryves/better-bakken },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-05-21 },
                            }