BottleDetectionMachine Object Detection Dataset and Pre-Trained Model by Labeles

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Explore Dataset

Here are a few use cases for this project:

Smart Vending Machines: Integrate the BottleDetectionMachine into vending machines to keep track of inventory, automatically detect when a specific type of bottle is out of stock, and enable easy restocking. This will improve vending machine efficiency and make the user experience smoother.
Recycling and Waste Sorting: Implement the BottleDetectionMachine at recycling facilities or smart trash cans to automatically sort bottles based on their class. This will streamline the recycling process and help reduce contamination in recycling streams.
Retail Stock Management: Use the BottleDetectionMachine in grocery stores, supermarkets, or warehouses to monitor the stock of beverage bottles, allowing for easier inventory management and replenishment of items.
Nutrition and Health Tracking: Integrate the BottleDetectionMachine into mobile apps to help users track their beverage consumption by quickly identifying the type of drink they are having. This can assist in making healthier choices and tracking daily calorie intake.
Beverage Quality Control: Incorporate the BottleDetectionMachine in beverage production facilities to ensure proper labeling and packaging. It can identify any discrepancies in the labeling process or misplaced bottles within the production line, assisting in maintaining quality standards.

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{
                            bottledetectionmachine_dataset,
                            title = { BottleDetectionMachine Dataset },
                            type = { Open Source Dataset },
                            author = { Labeles },
                            howpublished = { \url{ https://universe.roboflow.com/labeles/bottledetectionmachine } },
                            url = { https://universe.roboflow.com/labeles/bottledetectionmachine },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-27 },
                            }