PET bottle type Object Detection Dataset and Pre-Trained Model by project-yysbf

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801 images

Explore Dataset

Here are a few use cases for this project:

Recycling Centers: Recycling centers could use this computer vision model to automate sorting of PET bottles. With the use of this model, the centers could identify different types of bottles (by color, design, cap color), improving efficiency and recycling rates.
Retail Inventory Management: Retailers can also use this computer vision model as part of their automated inventory control systems. This machine learning model can help in recognizing different types of containers and track the quantity of each type, facilitating efficient restocking procedures.
Environmental Research: Researchers studying plastic pollution could use the "PET bottle type" model to identify different types of bottles in the environment. This would assist in understanding the prevalence of certain types of plastic containers in different ecosystems and aid in addressing ways to reduce them.
Waste Management Systems: The model could be integrated into waste management systems to help in sorting of waste before it's sent to recycling plants. This would ensure a more efficient process of waste sorting and recycle more waste effectively.
Manufacturing Quality Control: Manufacturers of PET bottles could use this model to perform quality control checks. By identifying which bottle models are being produced, they can ensure that the produced bottles meet the design specifications and detect any deviations early.

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{
                            pet-bottle-type_dataset,
                            title = { PET bottle type Dataset },
                            type = { Open Source Dataset },
                            author = { project-yysbf },
                            howpublished = { \url{ https://universe.roboflow.com/project-yysbf/pet-bottle-type } },
                            url = { https://universe.roboflow.com/project-yysbf/pet-bottle-type },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-05-02 },
                            }