Forest Fire Detection Computer Vision Model
How to use the Forest Fire Detection Detection API
Try This Model
Drop an image here or click to upload
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="forest-fire-detection-0trlx/1")Or, Use Free Fire Detection API
Powered by general detection model
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
About Forest Fire Detection Model
Here are a few use cases for this project:
-
Early Warning Systems: This model can be integrated into early warning systems for forest departments and fire brigades to promptly detect and counter forest fires, potentially saving thousands of acres of forest and the species that inhabit it.
-
Surveillance Drones: Drones equipped with this model can patrol forests and provide real-time updates on potential fire situations, enabling swift remedial actions.
-
National Park Surveillance: This model can help park rangers and other officials monitor forest areas within the park for signs of fire, helping ensure the safety of visitors and wildlife.
-
Environmental Research: Researchers studying climate change or forest ecosystems can use this model to detect and examine the frequency/resilience of certain areas against forest fires.
-
Insurance Claims Verification: This model can aid insurance agencies in quick verification of claims related to forest fires, speeding up the compensation process for those affected.
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ forest-fire-detection-0trlx_dataset,
title = { Forest Fire Detection Dataset },
type = { Open Source Dataset },
author = { AUIC },
howpublished = { \url{ https://universe.roboflow.com/auic-84pzw/forest-fire-detection-0trlx } },
url = { https://universe.roboflow.com/auic-84pzw/forest-fire-detection-0trlx },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2026-07-29 },
}