Identify race tire compounds
using AI
Below is a free classifier to identify race tire compounds. Just upload your image, and our AI will predict the optimal tire compound for different racing conditions - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("race-tire-compounds", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/race-tire-compounds/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/race-tire-compounds/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the optimal tire compound for different racing conditions.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Avon, Bf Goodrich, Bridgestone, Continental, Cooper, Deestone, Dunlop, Falken, Firestone and Goodyear.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the optimal tire compound for different racing conditions).
Whether you're just curious or building race tire compounds detection into your application, we hope our classifier proves helpful.
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Need to identify race tire compounds at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: The race tire compounds identifier can be utilized in tire manufacturing facilities to ensure that the correct materials are being used in production. By verifying the compounds in real-time, manufacturers can minimize defects and maintain high quality standards in their tire products.
- Product Development Feedback: During the development of new tire compounds, engineers can leverage this function to conduct comparative analysis of various formulations. This will help identify specific characteristics of the compounds that align best with performance metrics required for different types of racing.
- Competitive Analysis: Racing teams and manufacturers can use the identifier to profile competitor tire compounds during races. This information can inform their own tire development strategies and give them an edge by understanding the materials that yield superior performance on different tracks.
- Performance Optimization: Teams can deploy the tire compound identifier to assess the performance of tires throughout a race. By analyzing which compounds perform best under specific conditions, teams can fine-tune their tire strategies for maximum efficiency and speed during events.
- Regulatory Compliance: Racing organizations can utilize the identifier to ensure that all participating teams adhere to specified regulations regarding tire compounds. This can help maintain fair competition and uphold safety standards across racing events.
- Sustainability Initiatives: Tire manufacturers can employ the identifier to assist in the development of eco-friendly tire compounds. By identifying sustainable materials that perform well, manufacturers can innovate in creating high-performance tires with a reduced environmental impact.
- Supply Chain Management: Distributors can use the tire compounds identifier to verify the authenticity and quality of tire shipments. This ensures that the products received are exactly what was ordered and meet the quality expectations before reaching consumers or teams.