objects-On-Street Computer Vision Model
How to use the objects-On-Street 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="objects-on-street/1")Or, Use Free Car, Ped and Street_sign 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, ped, street_sign, traffic_light"
},
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 objects-On-Street Model
Here are a few use cases for this project:
-
Smart Autonomous Vehicles: The model can be utilized by autonomous vehicles for real-time detection of street signs, cars, traffic lights, and pedestrians, which informs the vehicle's decisions and promotes road safety.
-
Road Safety Monitoring Systems: Use in intelligent surveillance systems to monitor road user behavior, detecting any potential traffic violations or dangerous situations involving pedestrians, cars, or disregarded traffic signals.
-
Street Maintenance and Planning: Local government agencies can use the model to identify the condition of street signs and understand traffic patterns in the city, aiding in efficient city planning and maintenance.
-
Traffic Management System: It can be used to optimize the flow of traffic by adapting traffic light changes in real-time based on the detection of cars and pedestrians, thus reducing traffic congestion.
-
Driver Assistance Apps: Incorporating this in driver-assist technology can help alert drivers about upcoming traffic lights, street signs, other vehicles, and pedestrians, improving driver awareness and hence safety.
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{ objects-on-street_dataset,
title = { objects-On-Street Dataset },
type = { Open Source Dataset },
author = { Poliba university },
howpublished = { \url{ https://universe.roboflow.com/poliba-university/objects-on-street } },
url = { https://universe.roboflow.com/poliba-university/objects-on-street },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2026-07-29 },
}