Studies

TrashtoCash

Object Detection

TrashtoCash Computer Vision Project

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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{ trashtocash_dataset,
    title = { TrashtoCash Dataset },
    type = { Open Source Dataset },
    author = { Studies },
    howpublished = { \url{ https://universe.roboflow.com/studies-lse1a/trashtocash } },
    url = { https://universe.roboflow.com/studies-lse1a/trashtocash },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { dec },
    note = { visited on 2023-12-09 },
}

Find utilities and guides to help you start using the TrashtoCash project in your project.

Source

Studies

Last Updated

8 days ago

Project Type

Object Detection

Subject

bottles

Classes

Cuatro Cantos, Emperador, Gin Bilog, Pale Pilsen, Red Horse Litro, Red horse 500ml, San Mig Light, UFC Small, bagets, litro, mismo, zero

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License

CC BY 4.0