venom kroad Computer Vision Dataset
About venom kroad Dataset
Here are a few use cases for this project:
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Traffic Management and Analysis: The "Venom" model can be used by city planners or traffic management authorities to analyze the flow of different types of vehicles on roads. This can help in the development of better transportation infrastructure, efficient traffic signals, and congestion-free roads.
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Fleet Management: Companies managing fleets of vehicles can use the "Venom" model to categorize their fleets based on vehicle size and type. This can help in efficient route planning, vehicle maintenance, and cost optimization.
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Parking Space Optimization: Parking lot owners can use the "Venom" model to identify available spaces that are appropriate for different types of vehicles, allowing for the optimal utilization of parking spaces.
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Accident Investigation and Reconstruction: Law enforcement agencies can use the "Venom" model to identify and classify vehicles involved in road accidents. This can help in better understanding and reconstructing accident scenes, as well as providing valuable input for legal and insurance purposes.
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Augmented Reality Navigation: Developers can integrate the "Venom" model into augmented reality navigation systems, providing drivers with real-time information about surrounding vehicles, including their size and type. This can help in enhancing driver awareness and improving road safety.
Use Free Car, Big bus and Big truck 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": "car, big bus, big truck, boss, bus(l)"
},
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{ venom-kroad_dataset,
title = { venom kroad Dataset },
type = { Open Source Dataset },
author = { kroad },
howpublished = { \url{ https://universe.roboflow.com/kroad/venom-kroad } },
url = { https://universe.roboflow.com/kroad/venom-kroad },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2026-07-29 },
}