Identify if street sign is rusted
using AI
Below is a free classifier to identify if street sign is rusted. Just upload your image, and our AI will predict if the street sign is rusted - in just seconds.
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("if-street-sign-is-rusted", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-street-sign-is-rusted/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/if-street-sign-is-rusted/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the street sign is rusted.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Not Rusted and Rusted.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the street sign is rusted).
Whether you're just curious or building if street sign is rusted detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if street sign is rusted at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Road Safety Monitoring: This use case involves deploying the rusted street sign identifier in smart city applications to enhance road safety. By detecting rust on signs, maintenance teams can prioritize repairs, ensuring that critical information is visible to drivers and pedestrians.
- Infrastructure Management: Urban and municipal planners can use this classification function to maintain accurate records of street sign conditions. This data can help budget allocations for maintenance and replacement, ultimately prolonging the lifespan of street infrastructure.
- Insurance Assessment: Insurance companies can leverage the identifier to assess claims related to accidents caused by unclear or damaged signage. The function can provide evidence of sign conditions at the time of incidents, helping to determine liability and expedite claims processing.
- Public Reporting App: Local governments can integrate this feature into citizen reporting apps, allowing citizens to report rusted signs effortlessly. This enables faster response times for maintenance crews and promotes community engagement in infrastructure upkeep.
- Automated Maintenance Scheduling: The function can be incorporated into IoT systems to automate the scheduling of maintenance for street signs. By analyzing the condition data, municipalities can proactively address issues before they become hazards.
- Survey Data Collection: Traffic researchers can use the identifier to gather data on the prevalence of rusted signs in specific areas. This data can inform studies on the impact of sign conditions on traffic safety and behavior, leading to better urban design practices.
- Environmental Impact Studies: The classifier can assist in assessing the effects of weather and environmental conditions on street sign deterioration. This information can be vital for developing strategies to enhance the durability of signage materials and reduce overall maintenance costs.