INCENDIOS Computer Vision Dataset
About INCENDIOS Dataset
Here are a few use cases for this project:
-
Wildfire Early Detection and Alert System: INCENDIOS could be used to analyze images and videos from cameras placed in forests and high-risk fire areas. By rapidly identifying fire or smoke, the system can trigger early warnings to authorities and nearby communities, enabling timely evacuations and firefighting responses.
-
Urban Fire Monitoring and Response: Deploying INCENDIOS in smart city surveillance systems can help identify fires or smoke in urban areas more quickly, reducing response time for firefighters and potentially minimizing property damage or loss of life.
-
Industrial Safety and Fire Prevention: INCENDIOS can be used in factories, power plants, and other industrial facilities to continuously monitor for signs of fire or smoke, allowing for a quicker response to incidents and preventing extensive damage or hazardous situations.
-
Remote Sensing and Environmental Analysis: Integrating INCENDIOS with satellite imagery or aerial photography can provide real-time insights into large-scale fires, such as wildfires or agricultural burning, enabling environmental agencies to track and analyze the impact of fires on air quality, wildlife, and vegetation.
-
Home Security and Fire Detection: INCENDIOS can be implemented in residential security cameras or smart home systems to automatically identify any signs of fire or smoke, immediately notifying homeowners or emergency services in case of a potential threat.
Use Free Fire, Smoke and Fuego_noche 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, smoke, fuego_noche, ssmoke"
},
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
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{ incendios_dataset,
title = { INCENDIOS Dataset },
type = { Open Source Dataset },
author = { Marina Guerrero },
howpublished = { \url{ https://universe.roboflow.com/marina-guerrero/incendios } },
url = { https://universe.roboflow.com/marina-guerrero/incendios },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2026-07-29 },
}










