Identify stop signs
using AI
Below is a free classifier to identify stop signs. Just upload your image, and our AI will predict if there's a stop sign or not - in just seconds.
Upload an image of the sign only
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("stop-sign-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/stop-sign-identifier/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/stop-sign-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if there's a stop sign or not.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Stop Sign or Not a Stop Sign.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if there's a stop sign or not).
Whether you're just curious or building stop signs detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify stop signs at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Autonomous Vehicles: Identify stop signs to ensure proper vehicle responses at intersections. Improve road safety and regulatory compliance in self-driving car systems.
- Traffic Management: Monitor stop sign compliance rates at problematic intersections. Guide decisions on where to install additional safety measures or traffic lights.
- Mapping Services: Update digital maps with accurate stop sign locations and placements. Enhance navigation app reliability for drivers and pedestrians alike.
- Road Maintenance: Detect missing, damaged, or obscured stop signs for prompt replacement. Improve overall road safety by ensuring critical signage remains visible and effective.
- Driver Education: Develop interactive training simulations for new drivers learning traffic rules. Create more engaging and realistic virtual driving experiences for students.
- Insurance Assessment: Analyze accident scene photos to determine if stop sign-related violations occurred. Support more accurate claim processing and fault determination in traffic incidents.
- Urban Planning: Evaluate stop sign placement effectiveness in city traffic flow models. Optimize traffic patterns and reduce congestion by refining stop sign distributions.