Universe

FireDetector Computer Vision Model

byUMATask:
Object Detection
License:BY-NC-SA 4.04.93k views288 downloads

How to use the FireDetector Detection API

Try This Model

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Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="firedetector/1")
Give your agent everything it needs

Or, Use Free Fire Detection API

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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"
  },
  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 
See all 8.8k imagesFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fireFireDetector Fires sample showing fire

About FireDetector Model

Here are a few use cases for this project:

  1. Emergency response systems: FireDetector can be integrated into surveillance systems, such as CCTV, to promptly detect fires and automatically alert emergency services, potentially saving lives and reducing property damage.

  2. Forest fire prevention and management: By equipping drones or satellite systems with the FireDetector model, authorities can monitor forests and quickly identify wildfires, allowing for swift response and containment of the situation.

  3. Home and workplace safety: FireDetector can be incorporated into smart home and office systems to detect early signs of fire, triggering alarms and alerting residents or employees to evacuate or take preventive action.

  4. Industrial safety monitoring: In high-risk industries such as oil and gas or chemical plants, installing FireDetector can help monitor for fires, enabling rapid response to minimize damage and prevent potential catastrophes.

  5. Firefighter training and simulation: The FireDetector model can be used to create realistic fire scenarios for training programs and simulations, helping firefighters gain experience and learn to respond effectively in different fire situations.

Cite This Project

LicenseBY-NC-SA 4.0

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

@misc{ firedetector_dataset,
  title = { FireDetector Dataset },
  type = { Open Source Dataset },
  author = { UMA },
  howpublished = { \url{ https://universe.roboflow.com/uma-k4riu/firedetector } },
  url = { https://universe.roboflow.com/uma-k4riu/firedetector },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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