Universe

fire6 Computer Vision Dataset

by[email protected]Task:
Object Detection
License:CC BY 4.0259 views21 downloads
See all 1k imagesfire6 fire sample showing fire, smokefire6 fire sample showing fire, smokefire6 fire sample showing fire, smokefire6 fire sample showing fire, smokefire6 fire sample showing fire, smokefire6 fire sample showing fire, smokefire6 fire sample showing fire, smokefire6 fire sample showing smokefire6 fire sample showing fire, smokefire6 fire sample showing fire, smokefire6 fire sample showing fire, smokefire6 fire sample showing fire, smoke

About fire6 Dataset

Here are a few use cases for this project:

  1. Wildfire Early Detection: The model could be used in forested areas to detect wildfires at their early stages, enabling quicker response times to effectively control and eliminate wildfire risks.

  2. Fire Alarm Systems: The "fire6" model could be integrated into advanced fire alarm systems in buildings. These systems could potentially identify fire and smoke sooner than traditional detectors, reducing the damage caused by a fire.

  3. Drone Surveillance: Emergency services could use the model in drones for an aerial view in order to monitor and control blazing fires, particularly in hard-to-reach areas like high-rise buildings or dense forest zones.

  4. Space Monitoring: It could also be leveraged in space satellites to monitor smoke and fire patterns globally, helping in studies related to global warming or pollution caused due to burning.

  5. Safety in Industries: In industries such as petroleum, mining, or manufacturing where there's high fire risk, it can be used to monitor work areas and quickly alert staff if a fire is detected.

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{ fire6_dataset,
  title = { fire6 Dataset },
  type = { Open Source Dataset },
  author = { [email protected] },
  howpublished = { \url{ https://universe.roboflow.com/ahnew1-naver-com/fire6 } },
  url = { https://universe.roboflow.com/ahnew1-naver-com/fire6 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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