Traffic Sign Detection Computer Vision Dataset
About Traffic Sign Detection Dataset
Includes own Rosbags and Youtube Videos:
- https://www.youtube.com/watch?v=YFJuOci3D90 (Kitchener-Waterloo)
- https://www.youtube.com/watch?v=BR-CkUcoQNU (Waterloo)
- https://www.youtube.com/watch?v=5-MdPHw83cg (Waterloo - Kitchener)
- https://www.youtube.com/watch?v=3MNITisc1pw (Kitchener)
- https://www.youtube.com/watch?v=b4K_U0jGl8s (Waterloo Campus during winter)
Use Free Stop, Pedestrian and Parking 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": "stop, pedestrian, parking, roundabout, do-not-enter"
},
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
Roboflow Agent
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{ traffic-sign-detection-t6nyv_dataset,
title = { Traffic Sign Detection Dataset },
type = { Open Source Dataset },
author = { WATonomous },
howpublished = { \url{ https://universe.roboflow.com/watonomous/traffic-sign-detection-t6nyv } },
url = { https://universe.roboflow.com/watonomous/traffic-sign-detection-t6nyv },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2026-07-29 },
}