API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("vinfast-models", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/vinfast-models/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/vinfast-models/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if it's a VinFast model or not.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Vf E34 and Vf8.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's a VinFast model or not).

Whether you're just curious or building vinfast models detection into your application, we hope our classifier proves helpful.

Need to identify vinfast models at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Inventory Management: This function can be integrated into inventory management systems for dealerships. By automatically classifying images of VinFast vehicles, dealerships can streamline their inventory checks, ensuring accurate tracking and management of stock levels.

Quality Control: In manufacturing, the image classification function can enhance quality control processes. By identifying and classifying VinFast models based on predefined criteria, manufacturers can quickly spot defects or discrepancies in specific models during production.

Marketing and Advertising: Marketing teams can utilize the image classification to analyze customer engagement with different VinFast models. By categorizing images by model, companies can assess which vehicles generate the most interest to tailor their advertising campaigns accordingly.

Fleet Management: This function can be used by fleet management companies to monitor and manage fleets of VinFast vehicles. By classifying and identifying models in real-time, fleet managers can optimize routes, maintenance schedules, and overall vehicle utilization.

Customer Support: Customer service platforms can leverage the classification function to assist with vehicle-related queries. By quickly identifying the specific VinFast model a customer is inquiring about through uploaded images, support agents can provide more accurate and relevant assistance.

Insurance Assessment: Insurance companies can use this classification function for assessing vehicle claims. By automatically identifying the type and model of VinFast vehicles involved in claims, insurers can streamline the evaluation process and ensure accurate coverage determinations.

Research and Development: Automotive researchers can benefit from this classification function by analyzing trends in vehicle design and consumer preferences. By categorizing various VinFast models, R&D teams can gather valuable insights that inform future vehicle development and innovation strategies.

Identify vinfast models using AI

API Access

How this classifier works

Need to identify vinfast models at scale?