Small_Smokes_Dataset Instance Segmentation Dataset and Pre-Trained Model by AFDSemanticSegmentation

Images

5633 images

Explore Dataset

Here are a few use cases for this project:

Early Wildfire Detection: Use the Small_Smokes_Dataset to detect the presence of smoke in forest and landscape images to send alerts to firefighting and emergency organizations, enabling a quick response to potential wildfires.
Air Quality Monitoring: Analyze images from urban areas, industrial parks, and residential neighborhoods to detect or track smoke emissions, aiding authorities in air quality assessment, pollution control, and enforcement of environmental regulations.
Safety Monitoring in Industrial Facilities: Implement the Small_Smokes_Dataset computer vision model in monitoring systems within factories, oil and gas facilities, and power plants to automatically detect and flag any smoke emissions, potentially indicating equipment malfunctions or combustion hazards, ensuring swift action to prevent accidents.
Traffic and Accident Analysis: Utilize the model to analyze footage from traffic cameras, identifying smoke from vehicle accidents, fires, or malfunctioning vehicles on highways, allowing emergency services to locate and respond to incidents more efficiently.
Smart Home Applications: Integrate the Small_Smokes_Dataset model into smart home security and automation systems to identify smoke in real-time and send warnings to homeowners in cases of fire or other unforeseen emergencies, potentially saving lives and property.

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{
                            small_smokes_dataset_dataset,
                            title = { Small_Smokes_Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { AFDSemanticSegmentation },
                            howpublished = { \url{ https://universe.roboflow.com/afdsemanticsegmentation/small_smokes_dataset } },
                            url = { https://universe.roboflow.com/afdsemanticsegmentation/small_smokes_dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-23 },
                            }