Robot-22/23 Object Detection Dataset and Pre-Trained Model by Computer Science Club 2

Images

5129 images

Explore Dataset

Here are a few use cases for this project:

Waste Management Systems: The Robot-22/23 model can be implemented in smart recycling and garbage sorting applications to identify trash items and categorize them correctly. This could drastically improve waste management efficiencies and assist in reducing contamination.
Environmental Cleanup Initiatives: The model can be used in automatized cleanup robots or drones to identify specific trash items on beaches, parks, or in public spaces, streamlining efforts towards a cleaner environment.
Zero-Waste Retail Stores: The model could be used to identify items customers are bringing back to return, recycle, or refill, reducing the need for manual identification and thus speeding up and simplifying the process for both store employees and customers.
Educational Programs: The Robot-22/23 model can be integrated into educational software to teach children and adults how to properly sort waste. The tool can show a series of images, have users sort the items, and provide immediate feedback.
Fast Food and Restaurant Industries: This model could help automate waste sorting within restaurant settings, ensuring recyclable or compostable materials end up in appropriate bins. This not only improves waste disposal practices but also allows restaurants to overview their waste production better.

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{
                            robot-22-23-dt8zj_dataset,
                            title = { Robot-22/23 Dataset },
                            type = { Open Source Dataset },
                            author = { Computer Science Club 2 },
                            howpublished = { \url{ https://universe.roboflow.com/computer-science-club-2/robot-22-23-dt8zj } },
                            url = { https://universe.roboflow.com/computer-science-club-2/robot-22-23-dt8zj },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-01 },
                            }