Trash Detection Object Detection Dataset and Pre-Trained Model by Trash Dataset for Oriented Bounded Box

Images

2783 images

Explore Dataset

Here are a few use cases for this project:

Smart Waste Management: Trash Detection can help cities and municipalities with smart waste management, such as automatic classification of waste in bins, robotic sorting, and identifying areas that require more frequent garbage collection.
Public Awareness Campaigns: Governments and environmental organizations can use the Trash Detection model to create public awareness campaigns by identifying common types of litter found in public places and promoting proper waste disposal methods.
Beach Cleanup Robots: The Trash Detection model can be implemented in beach-cleaning robots to detect and collect litter more effectively, contributing to cleaner and safer shores for both humans and marine life.
Mobile App for Litter Reporting: An app could be created that uses the Trash Detection model, allowing citizens to report and log litter in their local community. Collected data could then be used for community cleanups, identifying problem areas, and suggesting improvements in waste management.
Industries and Manufacturing Plants: The Trash Detection model can be useful for recycling and waste management in industries and manufacturing plants, enabling them to optimize their recycling and waste disposal processes, reduce costs, and in turn, reduce their environmental footprint.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            trash-detection-1fjjc_dataset,
                            title = { Trash Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Trash Dataset for Oriented Bounded Box },
                            howpublished = { \url{ https://universe.roboflow.com/trash-dataset-for-oriented-bounded-box/trash-detection-1fjjc } },
                            url = { https://universe.roboflow.com/trash-dataset-for-oriented-bounded-box/trash-detection-1fjjc },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-27 },
                            }