Trash Object Detection Dataset and Pre-Trained Model by project-g6oev

Images

3134 images

Explore Dataset

Here are a few use cases for this project:

Waste Sorting Automation: The model can be used in waste management facilities to automate the process of sorting trash items into their respective categories. This would improve the efficiency and accuracy of recycling operations by using robotic systems coupled with the model.
Environmental Clean-Up: In outdoor settings, the model could be used in drones or robots designed for environmental clean-up. These devices could identify the type of trash it encounters and pick it up, enabling large scale and more efficient clean-ups especially in areas that are difficult for humans to reach.
Smart Home Automation: This model can be integrated into smart trash bins or waste disposal units in homes, helping users to segregate their trash correctly, thereby promoting recycling and reducing contamination of recyclable materials.
Educational Apps: The model can be used as part of an educational app to teach children and adults about different types of trash and their recyclability. Users can simply take a picture of a trash item and the app would identify its class, providing information about how it can be properly disposed or recycled.
Monitoring Public Spaces: The model can be integrated into surveillance systems in public spaces to monitor littering habits. When trash is spotted, an immediate alert could be sent to the relevant department for action. Over time, these data points could help in creating more effective anti-littering campaigns or policies.

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-s8fg7_dataset,
                            title = { Trash Dataset },
                            type = { Open Source Dataset },
                            author = { project-g6oev },
                            howpublished = { \url{ https://universe.roboflow.com/project-g6oev/trash-s8fg7 } },
                            url = { https://universe.roboflow.com/project-g6oev/trash-s8fg7 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-06-15 },
                            }