Universe

Fire and Smoke Segmentation Computer Vision Dataset

byadamleznarTask:
Instance Segmentation
License:CC BY 4.0
See all 201 imagesFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fireFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fireFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fire, smokeFire and Smoke Segmentation fire-smoke sample showing fire, smoke

About Fire and Smoke Segmentation Dataset

Here are a few use cases for this project:

  1. Wildfire Monitoring and Response: The Fire and Smoke Segmentation model can be used to detect and monitor wildfires through aerial or satellite imagery. This data can provide real-time insights into the progress of fires, help responders allocate resources more effectively, and identify high-risk areas for evacuation.

  2. Emergency Response in Urban Areas: The model can assist in analyzing images from surveillance cameras, drone footage, or social media uploads and pinpoint exact locations of fires and smoke in cities. This information can help emergency services assess the severity of the situation, prioritize response, and coordinate efforts more effectively.

  3. Industrial Accident Detection and Prevention: By monitoring facilities such as power plants, refineries, or factories, the Fire and Smoke Segmentation model can detect potential fire hazards or ongoing incidents. Automated alerts can be used to trigger emergency protocols and mitigate damages.

  4. Fire and Smoke Damage Assessment: Post-incident analysis using this model can help insurance companies, government agencies, and property owners assess damage to structures and estimate losses. This data can be useful for claims processing, allocating financial aid, and planning reconstruction efforts.

  5. Smoke Inhalation Risk Mapping: By identifying areas with high levels of smoke during fire incidents, the model can contribute to the creation of risk maps that inform people about areas to avoid for safety reasons. These smoke risk maps can be especially critical for individuals with respiratory conditions or compromised immune systems.

Use Free Fire and Smoke Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "fire, smoke"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ fire-and-smoke-segmentation-2to91_dataset,
  title = { Fire and Smoke Segmentation Dataset },
  type = { Open Source Dataset },
  author = { adamleznar },
  howpublished = { \url{ https://universe.roboflow.com/adamleznar/fire-and-smoke-segmentation-2to91 } },
  url = { https://universe.roboflow.com/adamleznar/fire-and-smoke-segmentation-2to91 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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