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Object Tracking and detection Computer Vision Dataset

byMy ProjectsTask:
Object Detection
License:MIT290 views13 downloads
See all 252 imagesObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing carObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing carObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing car, truckObject Tracking and detection cars-and-trucks sample showing car, truck

About Object Tracking and detection Dataset

Here are a few use cases for this project:

  1. Traffic Flow Analysis: Use Object Tracking and Detection to analyze real-time traffic patterns and conditions, detecting congestion or incidents on highways or city streets. This data could assist traffic management centers and navigation apps to optimize routes and suggest alternative paths.

  2. Parking Management: Implement the model in smart parking solutions to track available parking spots, detect parked cars and trucks, and help drivers find open spaces easily, optimizing parking lot space and reducing time spent searching for a spot.

  3. Accident Detection and Response: Employ the computer vision model to detect and track car and truck accidents on highways and streets, enabling quicker response times for emergency services and law enforcement, and contributing to improved road safety.

  4. Infrastructure Planning and Development: Use the Object Tracking and Detection model to measure and analyze vehicle counts and types on roadways, providing valuable data to city planners and transportation agencies for future infrastructure investments, road expansion, and public transit policy decisions.

  5. Automated Tolls and Vehicle Classification: Implement the model in electronic toll systems to automatically detect, track, and classify cars and trucks passing through toll plazas, allowing for accurate billing based on vehicle type without manual intervention.

Use Free Car and Truck 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, 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

LicenseMIT

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ object-tracking-and-detection-mkhw4_dataset,
  title = { Object Tracking and detection Dataset },
  type = { Open Source Dataset },
  author = { My Projects },
  howpublished = { \url{ https://universe.roboflow.com/my-projects-ons8w/object-tracking-and-detection-mkhw4 } },
  url = { https://universe.roboflow.com/my-projects-ons8w/object-tracking-and-detection-mkhw4 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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