Cigarrette_Detection Object Detection Dataset and Pre-Trained Model by Cigarette

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Explore Dataset

Here are a few use cases for this project:

Environmental Cleaning Initiatives: This model can be used in helping clean-up teams to locate and clean cigarette buds in parks, beaches, and streets, thereby contributing to environmental protection.
Surveillance Systems: Security agencies or businesses can use this model in surveillance systems to enforce no-smoking areas or to identify individuals who are littering public areas, potentially leading to fines.
Robotics & Automation: This could be integrated into autonomous cleaning robots for more effective waste segregation and handling, specifically targeting cigarette litter.
Health and Safety Inspection: In environments like factories, warehouses, etc., where smoking might pose a serious risk (due to flammable goods), this model could be used to identify potential safety violations and reduce the risk of fire hazards.
Research and Public Policy: Researchers studying patterns in smoking habits and urban waste can use this model for better data collection. This can inform policymaking such as the placement of designated smoking areas or public ashtrays.

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{
                            cigarrette_detection_dataset,
                            title = { Cigarrette_Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Cigarette },
                            howpublished = { \url{ https://universe.roboflow.com/cigarette/cigarrette_detection } },
                            url = { https://universe.roboflow.com/cigarette/cigarrette_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-04-25 },
                            }