Traffic Density Detection Computer Vision Model
How to use the Traffic Density Detection Detection API
Try This Model
Drop an image here or click to upload
Code Snippets
from inference_sdk import InferenceHTTPClient
CLIENT = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="traffic-density-detection-g3kwe/1")Or, Use Free Car, Truck and BUS 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, Truck, BUS, Tractor, Emergency Vehicle"
},
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
About Traffic Density Detection Model
Detection of Traffic Density In order to ensure pedestrian safety and vehicle speed limits in areas with high pedestrian density/residential areas, a system to detect the traffic density/ school areas/ residential areas and accordingly warn the driver about the speed limit for vehicles. The participating teams may use vision based systems which sense the speed limit signs or sign boards for schools/hospitals/accident prone areas etc. and may decide upon the safe speed value with which the vehicle need to operate. The system needs to provide a warning to the driver, if the speed limits are breached. For the purpose of demonstration, the warning may be provided using a LCD or a seven segment simple display and a buzzer. The sign boards for the purpose of demonstration needs to be made according to IRC standards and the same can be used by the system for demonstration purposes.
Tell the agent what you want to build.
Cite This Project
LicenseMITIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ traffic-density-detection-g3kwe_dataset,
title = { Traffic Density Detection Dataset },
type = { Open Source Dataset },
author = { BIT },
howpublished = { \url{ https://universe.roboflow.com/bit-nnyce/traffic-density-detection-g3kwe } },
url = { https://universe.roboflow.com/bit-nnyce/traffic-density-detection-g3kwe },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { mar },
note = { visited on 2026-07-29 },
}