Identify xpeng motors models using AI

Below is a free classifier to identify xpeng motors models. Just upload your image, and our AI will predict if the vehicle model is from Xpeng Motors - in just seconds.

API Access


import nyckel

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


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

How this classifier works

To start, upload your image. Our AI tool will then predict if the vehicle model is from Xpeng Motors.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including G3 and P7.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the vehicle model is from Xpeng Motors).

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

Need to identify xpeng motors models at scale?

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

Automated Quality Control: Implementing the True Image Classification function can enhance the quality control process in Xpeng Motors' manufacturing plants. By automatically identifying and classifying vehicle models during inspection, it can quickly flag any discrepancies or defects, ensuring that only high-quality vehicles reach consumers.

Inventory Management: The classification function can be integrated into inventory management systems to track and categorize different Xpeng vehicle models. This real-time identification streamlines inventory processes, assisting in monitoring stock levels and optimizing warehouse logistics.

Enhanced Customer Support: By utilizing image classification, customer support teams can more effectively identify vehicle models from customer-submitted images. This capability allows for quicker resolution of customer inquiries, ensuring that customers receive accurate information about their specific vehicle.

Marketing and Targeting: Marketing teams can leverage this classification tool to analyze customer images of Xpeng vehicles shared on social media. This data can help segment customers based on the models they own, enabling more tailored marketing campaigns and promotions.

Augmented Reality Applications: The identification function can power augmented reality apps that allow users to visualize different Xpeng motor models in real time. Users can simply point their device at a vehicle to receive detailed information and compare features across various models, enhancing the interactive experience.

Connected Vehicle Services: The classification function can assist in developing connected vehicle services that provide personalized updates and maintenance recommendations based on the specific model identified. By knowing exactly which model a customer owns, the system can streamline maintenance schedules and offer model-specific features.

Insurance Verification and Claims Processing: Insurance companies can utilize the classification function to quickly identify Xpeng models during claims processing. This facilitates faster assessments and settlements by ensuring that the correct vehicle specifications are automatically retrieved and verified, minimizing errors and disputes.