trash-detection Object Detection Dataset and Pre-Trained Model by nora slimani

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Explore Dataset

Here are a few use cases for this project:

Environmental Cleanliness: The "trash-detection" computer vision model can be integrated into drones for monitoring litter in public spaces like parks, beaches, or city streets. By identifying types of trash, authorities can assess the effectiveness of waste management systems and create strategic clean-up campaigns.
Waste Sorting: Automated waste sorting machines can utilize this model to identify and segregate different types of waste materials for efficient recycling and disposal. This can drastically improve the efficiency of waste treatment facilities and promote sustainable practices.
Damage Control at Sea: Equipping maritime vehicles like boats or unmanned sea vessels with this model can detect, track, and collect litter floating at sea, mitigating the impact on marine life and contributing to cleaner oceans.
Smart Cities: This model can be used in surveillance cameras across cities as part of a "smart city" solution. It can help identify littered areas and facilitate quick cleaning responses, promoting a cleaner and healthier urban environment.
Food Industry Waste Management: In food plants and kitchens, this model can be used to identify and separate food waste from other trash, promoting more efficient composting or disposal processes. It could aid in tracking the progress towards waste reduction goals within the food industry as well.

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.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, 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-otdmj_dataset,
                            title = { trash-detection Dataset },
                            type = { Open Source Dataset },
                            author = { nora slimani },
                            howpublished = { \url{ https://universe.roboflow.com/nora-slimani/trash-detection-otdmj } },
                            url = { https://universe.roboflow.com/nora-slimani/trash-detection-otdmj },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-24 },
                            }