EcoSmart Object Detection Dataset and Pre-Trained Model by EcoSmart

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Explore Dataset

Here are a few use cases for this project:

Waste Sorting Automation: EcoSmart could be used in waste management facilities to automate the process of identifying and sorting different types of trash, improving efficiency and recycling rates.
Environmental Clean-up Initiatives: The model can assist in environmental cleanup initiatives by detecting and classifying waste types, which can help volunteers focus their cleanup efforts most effectively.
Smart Cities: Municipal governments could implement the EcoSmart model into existing city infrastructure like CCTV to automatically detect and classify discarded trash in public areas, facilitating quick response times for cleaning services and maintaining cleanliness.
Public Awareness Campaigns: Non-profit or governmental environmental agencies could use EcoSmart to analyze images from specific locations or events and build impactful awareness campaigns about littering and recycling by showing the quantity and types of trash left behind.
Waste Data Analytics: Companies and research institutions could use the model to analyze waste patterns and statistics in different regions to contribute to waste reduction strategies, to develop new recycling technologies or to enhance existing waste management systems.

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{
                            ecosmart_dataset,
                            title = { EcoSmart Dataset },
                            type = { Open Source Dataset },
                            author = { EcoSmart },
                            howpublished = { \url{ https://universe.roboflow.com/ecosmart/ecosmart } },
                            url = { https://universe.roboflow.com/ecosmart/ecosmart },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-28 },
                            }