Umberto Puddu

Trashe

Object Detection

Trashe Computer Vision Project

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320 images
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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{
                            trashe_dataset,
                            title = { Trashe Dataset },
                            type = { Open Source Dataset },
                            author = { Umberto Puddu },
                            howpublished = { \url{ https://universe.roboflow.com/umberto-puddu-nkhcp/trashe } },
                            url = { https://universe.roboflow.com/umberto-puddu-nkhcp/trashe },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-04-27 },
                            }
                        

Connect Your Model With Program Logic

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

Source

Umberto Puddu

Last Updated

6 months ago

Project Type

Object Detection

Subject

Trashe

Views: 5

Views in previous 30 days: 0

Downloads: 1

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

Banana peels on the ground Broken glass bottles Cigarette butts Cigarette packs Discarded candy wrappers Discarded drink cans Discarded newspaper pages on the ground Discarded plastic straw on the ground Discarded receipts Disposable paper cutlery Disposable plastic cups on the ground Disposable plastic cutlery Disposable plastic plates Disposable vapes Dog excrements on the ground Empty food wrappers Empty plastic food containers Glass beer bottles Glass fragments Lighter Liquor bottles Plastic bottles on the ground Plastic grocery bags on the ground Rolling paper pack Syringes on the ground Tea bags Torn notebook pages Wasted napkin on the ground pollution
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