Trash Classification Instance Segmentation Dataset and Pre-Trained Model by project2

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Explore Dataset

Here are a few use cases for this project:

Waste Management: The model can be used to automate waste sorting in recycling plants. By correctly identifying and separating different types of trash, recycling process optimization can be achieved, leading to more efficient and sustainable waste management practices.
Smart Cities: Municipalities could leverage this model in smart bins installed throughout the city. The bins would be able to identify what type of trash is being thrown away and flag when they're full of a certain type of material, helping to streamline trash collection and recycling.
Environmental Research: Researchers could leverage the model to analyze waste composition in different regions or communities. This could provide insights into consumption patterns and inform policy initiatives focused on waste reduction.
Consumer Education Apps: This model could power a consumer application designed to educate individuals about the proper way to dispose of trash. The application could identify the type of trash and offer advice on how to recycle or discard it properly.
Corporate Sustainability: Businesses could use this model to better manage and reduce their waste, contributing to their corporate social responsibility goals. For example, the model could help categorize and quantify the waste produced in corporate cafeterias, allowing for adjustments in sustainability practices.

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-classification-tiwii_dataset,
                            title = { Trash Classification Dataset },
                            type = { Open Source Dataset },
                            author = { project2 },
                            howpublished = { \url{ https://universe.roboflow.com/project2-3gsaa/trash-classification-tiwii } },
                            url = { https://universe.roboflow.com/project2-3gsaa/trash-classification-tiwii },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-04-28 },
                            }