Trash Detection Object Detection Dataset and Pre-Trained Model by Trash Annotations

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Explore Dataset

Here are a few use cases for this project:

Waste Sorting Automation: The model can be used in waste management facilities to automatically sort trash into different categories, increasing the efficiency and accuracy of recycling processes.
Smart Public Bins: Integrate the model with public trash bins to automatically categorize trash that is thrown inside, and provide insight to city officials about the type of waste being generated more for better waste management planning.
Clean-Up Robots: Use the model in robots designed for automatic trash pick-up in public spaces, beaches, or oceans. The robots can identify and pick up specific types of trash, contributing to environmental protection.
Eco-Education Apps: Incorporate model into an educational app that helps users identify types of trash for proper recycling. It can promote environmental awareness and encourage more effective recycling habits.
Industrial Waste Audit: The model can aid industries in conducting waste audits, identifying and quantifying the types of waste they generate and providing data that can help them improve their waste management strategies or comply with waste regulations.

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{
                            trash-detection-kcsnu_dataset,
                            title = { Trash Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Trash Annotations },
                            howpublished = { \url{ https://universe.roboflow.com/trash-annotations/trash-detection-kcsnu } },
                            url = { https://universe.roboflow.com/trash-annotations/trash-detection-kcsnu },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-27 },
                            }