Garbage Object Detection Dataset and Pre-Trained Model by kubraaksoy2187@gmail.com

Images

530 images

Explore Dataset

Here are a few use cases for this project:

Waste Management & Recycling Systems: The model can be used to identify whether a container is filled with garbage or not, helping in the process of routine maintenance or pickups with automated sanitation trucks
Smart City Development: The "Garbage" model can help monitor and manage urban cleanliness levels. By identifying overloaded containers, this can incentivize more efficient waste removal routes and schedules.
Environment Monitoring: Track littering behavior in public spaces like parks, beaches, or city streets. The model can quickly identify garbage and containers, aiding in prompt cleanup and reducing environmental impact.
Household or Industrial Automation: Use in automated garbage segregation systems, where it can classify garbage types and container, driving efficient recycling and waste management processes.
Retail & Commercial Spaces: Deploy in malls, offices, or restaurants to monitor and manage waste generated, optimizing cleaning staff workflows and maintaining clean premises.

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{
                            garbage-s20aa_dataset,
                            title = { Garbage Dataset },
                            type = { Open Source Dataset },
                            author = { kubraaksoy2187@gmail.com },
                            howpublished = { \url{ https://universe.roboflow.com/kubraaksoy2187-gmail-com/garbage-s20aa } },
                            url = { https://universe.roboflow.com/kubraaksoy2187-gmail-com/garbage-s20aa },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-04-26 },
                            }