Universe

fire detection Computer Vision Dataset

byfire detectionTask:
Object Detection
License:CC BY 4.03.38k views172 downloads
See all 3.7k imagesfire detection fire sample showing fire1fire detection fire sample showing fire1fire detection fire sample showing fire1fire detection fire sample showing 0fire detection fire sample showing black smoke, smoky firefire detection fire sample showing fire1, smoky firefire detection fire sample showing 0, smoky firefire detection fire sample showing black smoke, smoky firefire detection fire sample showing 0, fire1fire detection fire sample showing fire1fire detection fire sample showing fire1fire detection fire sample showing smoky fire

About fire detection Dataset

Here are a few use cases for this project:

  1. Emergency Response Systems: The "fire detection" model can be integrated into security systems of commercial or residential properties to detect potential fire hazards and instantly alert the emergency services, typical users being fire departments and security companies.

  2. Forest Fire Detection: The model can be used in combination with drone or satellite imagery to detect early start of forest fires, thus enabling quick response to prevent larger wildfires. The typical users would be environmental protection agencies and government organizations.

  3. Industry Safety: Industries with high risk of fire, such as oil refineries or power plants, can use the model to constantly monitor their facilities for any signs of fire or unusual smoke, contributing to workplace safety. The key users would be industrial corporations and safety inspectors.

  4. Insurance Companies: By analyzing imagery of fire damages, insurance companies could use this model to assist in claim assessment and fraud detection. Insurance companies and insurance investigators would be main users.

  5. Smart Home Systems: Home automation developers can implement this model in their smart home systems to provide an additional layer of security, alerting homeowners of any fire threats in real-time. The primary users include smart home system developers and homeowners.

Use Free 0, Black smoke and Fire1 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": "0, black smoke, fire1, smoky fire"
  },
  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-detection-6xj8n_dataset,
  title = { fire detection Dataset },
  type = { Open Source Dataset },
  author = { fire detection },
  howpublished = { \url{ https://universe.roboflow.com/fire-detection-3acsn/fire-detection-6xj8n } },
  url = { https://universe.roboflow.com/fire-detection-3acsn/fire-detection-6xj8n },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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