Universe

Anomaly Detection for Security Computer Vision Dataset

byGo GoTask:
Object Detection
License:CC BY 4.016 views
See all 51k imagesAnomaly Detection for Security objects sample showing personAnomaly Detection for Security objects sample showing fire_smokeAnomaly Detection for Security objects sample showing fire_smokeAnomaly Detection for Security objects sample showing fire_smokeAnomaly Detection for Security objects sample showing personAnomaly Detection for Security objects sample showing personAnomaly Detection for Security objects sample showing fire_smokeAnomaly Detection for Security objects sample showing fire_smokeAnomaly Detection for Security objects sample showing vehicleAnomaly Detection for Security objects sample showing fire_smokeAnomaly Detection for Security objects sample showing personAnomaly Detection for Security objects sample showing fire_smoke

About Anomaly Detection for Security Dataset

A description for this project has not been published yet.

Use Free Vehicle, Person and Fire_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": "vehicle, person, 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{ anomaly-detection-for-security_dataset,
  title = { Anomaly Detection for Security Dataset },
  type = { Open Source Dataset },
  author = { Go Go },
  howpublished = { \url{ https://universe.roboflow.com/go-go-8lcwo/anomaly-detection-for-security } },
  url = { https://universe.roboflow.com/go-go-8lcwo/anomaly-detection-for-security },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

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