CCTVv2 Computer Vision Dataset

byasrafTask:
Object Detection
License:CC BY 4.0

About CCTVv2 Dataset

Here are a few use cases for this project:

  1. Traffic Management: The "CCTVv2" model can be used by traffic control authorities to monitor traffic flow on highways and city streets, differentiating between various types of vehicles such as cars, trucks, motorbikes, and buses. This can assist in making efficient traffic management decisions, adjusting traffic signals and managing congestion.

  2. Fleet Management: Businesses involved in fleet management can utilize this model to keep track of different kinds of vehicles such as light trucks, heavy trucks, and buses in their fleet, thus optimizing vehicle usage and maintenance schedules.

  3. Toll Collection Automation: Automated toll booths can use this model to classify vehicles and apply appropriate charges based on the type of vehicle. This can improve efficiency and reduce human errors.

  4. Road Safety: The model can be used for identifying driving behavior patterns, such as overspeeding or unsafe proximity among different types of vehicles, contributing to road safety efforts.

  5. Urban Planning: City planners and transportation departments can use data gathered from this model for strategic urban planning, such as determining where to expand or adjust roads based on vehicle frequency and type.

Use Free Car, Bus and Motorbike 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, bus, motorbike, heavy truck, light truck"
  },
  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{ cctvv2-kccv3_dataset,
  title = { CCTVv2 Dataset },
  type = { Open Source Dataset },
  author = { asraf },
  howpublished = { \url{ https://universe.roboflow.com/asraf-6t8fl/cctvv2-kccv3 } },
  url = { https://universe.roboflow.com/asraf-6t8fl/cctvv2-kccv3 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { dec },
  note = { visited on 2026-07-29 },
}

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