Roboflow Universe Universitas Bengkulu Deteksi Botol Daur Ulang (PET)

Deteksi Botol Daur Ulang (PET) Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

902 images

Explore Dataset

Here are a few use cases for this project:

Waste Management: This model can be used to sort recyclable materials based on their capacity. By identifying and categorizing bottles into different classes, it could ease the recycling process.
Environment Clean Up Initiatives: Organisations engaged in beach or park clean-ups could use this model to assess pollution level involving plastic bottles.
Collection and Purchase of Recyclables: Recyclable collection companies or facilities can use this model to identify the type and size of bottles, which can be used to provide an estimation of the purchasing price for the recyclables.
Smart Trash Bin: Development of smart trash bins or waste collection systems to differentiate sizes of plastic bottles, enabling more efficient waste handling and recycling.
Education Purposes: Teaching about recycling could use this model, students can learn to identify different types and sizes of recyclable bottles and their environmental impact.

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{ deteksi-botol-daur-ulang-pet_dataset,
    title = { Deteksi Botol Daur Ulang (PET) Dataset },
    type = { Open Source Dataset },
    author = { Universitas Bengkulu },
    howpublished = { \url{ https://universe.roboflow.com/universitas-bengkulu-53ge7/deteksi-botol-daur-ulang-pet } },
    url = { https://universe.roboflow.com/universitas-bengkulu-53ge7/deteksi-botol-daur-ulang-pet },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jul },
    note = { visited on 2023-11-30 },
}