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fscbp-proj2 Computer Vision Dataset

byfiresmokedetectTask:
Object Detection
License:CC BY 4.048 views5 downloads
See all 263 imagesfscbp-proj2 fire-smoke-bike-person sample showing bicycle, person, smokefscbp-proj2 fire-smoke-bike-person sample showing bicycle, fire, smokefscbp-proj2 fire-smoke-bike-person sample showing fire, motorcycle, smokefscbp-proj2 fire-smoke-bike-person sample showing bicycle, car, fire, motorcycle, person, smokefscbp-proj2 fire-smoke-bike-person sample showing firefscbp-proj2 fire-smoke-bike-person sample showing fire, personfscbp-proj2 fire-smoke-bike-person sample showing bicycle, car, fire, person, smokefscbp-proj2 fire-smoke-bike-person sample showing fire, motorcycle, person, smokefscbp-proj2 fire-smoke-bike-person sample showing fire, motorcycle, person, smokefscbp-proj2 fire-smoke-bike-person sample showing car, fire, motorcycle, smokefscbp-proj2 fire-smoke-bike-person sample showing car, fire, motorcycle, person, smokefscbp-proj2 fire-smoke-bike-person sample showing fire, person, smoke

About fscbp-proj2 Dataset

Here are a few use cases for this project:

  1. Disaster Response and Emergency Services: The fscbp-proj2 model can be used to identify and monitor regions hit by disasters such as fire and smoke incidents. The system can prioritize resource dispatch (e.g., firefighters, vehicles, medical personnel) based on the intensity of the fire, presence of smoke, and identification of people and vehicles (bicycles, motorcycles, and cars) in the vicinity in real time.

  2. Traffic Monitoring and Management: This model can help intelligently monitor traffic conditions by identifying vehicles like cars, motorcycles, and bicycles, and pedestrian activities. In case of any accidents, smoke or fire detection can quickly alert the authorities, leading to faster response times.

  3. Surveillance and Security: The tool can be used to keep tabs on public places, streets, parks, etc., to ensure safety. It can detect fires and alert emergency services, identify the presence of people at unusual times, or detect suspicious movement of vehicles.

  4. Insurance Claim Verification: The system can corroborate the details of an incident, such as a car or motorcycle fire, reported in an insurance claim by examining insurance claim images.

  5. Autonomous Vehicles: The model can also be built into the AI of autonomous vehicles to identify and respond to emergency situations, such as fires or smoke, while also recognizing other road inhabitants like cars, motorcycles, people, and bicycles for safe navigation.

Use Free Car, Bicycle and Motorcycle 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": "car, bicycle, motorcycle, 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{ fscbp-proj2_dataset,
  title = { fscbp-proj2 Dataset },
  type = { Open Source Dataset },
  author = { firesmokedetect },
  howpublished = { \url{ https://universe.roboflow.com/firesmokedetect/fscbp-proj2 } },
  url = { https://universe.roboflow.com/firesmokedetect/fscbp-proj2 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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