v2_Hazard_Detection Computer Vision Dataset
About v2_Hazard_Detection Dataset
This dataset contains images categorized into five classes: hole, loose wires, fire, and no hazard. These images have been collected to assist in the development of hazard detection systems. The fire images specifically were sourced from the "Fire and Smoke Detection" dataset provided by Roboflow. The other classes were created independently.
Classes:
Hole
Loose Wires
Fire
No Hazard
Source: The fire images were sourced from the following dataset: "Fire and Smoke Detection" by Roboflow, 2023. Link: https://universe.roboflow.com/middle-east-tech-university/fire-and-smoke-detection-hiwia
Use Free Fire, Hole and Loose wires 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, Hole, Loose wires, No Hazard"
},
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{ v2_hazard_detection_dataset,
title = { v2_Hazard_Detection Dataset },
type = { Open Source Dataset },
author = { proj },
howpublished = { \url{ https://universe.roboflow.com/proj-0nmnn/v2_hazard_detection } },
url = { https://universe.roboflow.com/proj-0nmnn/v2_hazard_detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { apr },
note = { visited on 2026-07-29 },
}