Identify vietnamese province flags using AI

Below is a free classifier to identify vietnamese province flags. Just upload your image, and our AI will predict which Vietnamese province flag it is - in just seconds.

vietnamese province flags identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("vietnamese-province-flags-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/vietnamese-province-flags-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/vietnamese-province-flags-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict which Vietnamese province flag it is.

This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Bac Ninh, Bien Hoa, Binh Duong, Can Tho, Da Nang, Dong Nai, Ha Tĩnh, Hai Phong, Hanoi and Ho Chi Minh City.

We'll also show a confidence score (the higher the number, the more confident the AI model is around which Vietnamese province flag it is).

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

Related Classifiers

Need to identify vietnamese province flags at scale?

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



  • Tourism Marketing: Travel agencies can use the false image classification function to enhance their marketing materials. By accurately identifying and categorizing images of Vietnamese province flags, agencies can promote specific regions more effectively to tourists, showcasing authentic cultural symbols connected to their travel packages.

  • E-commerce Product Verification: Online retail platforms selling regional crafts and souvenirs can utilize this function to verify product authenticity. By confirming whether an item includes the correct provincial flag representation, businesses can reduce counterfeit products and ensure customers receive genuine items.

  • Educational Tools: Schools and educational platforms can integrate the function into learning applications to educate students about Vietnamese geography and culture. By providing interactive quizzes and games that include flag identification, teachers can create engaging learning experiences centered around regional knowledge.

  • Social Media Content Moderation: Social media platforms can implement the identifier to automatically moderate user-generated content that incorrectly labels or misuses provincial flags. Ensuring accurate representation prevents cultural misappropriation and promotes respectful usage of regional symbols.

  • Cultural Heritage Projects: Non-profit organizations focused on preserving Vietnamese culture can utilize the identifier for projects that document and archive provincial flags. By categorizing flags accurately, these initiatives can create comprehensive databases that highlight the significance and history of each flag.

  • Event Planning and Coordination: Event planners can use the classification to source appropriate flags for province-specific events or festivals. By ensuring that the right flag is displayed, planners can enhance the authenticity of events celebrating regional cultures and traditions.

  • Flag Merchandise Production: Companies producing flags and related merchandise can implement the identifier to ensure design accuracy. By validating provincial flag designs against the correct classifications, manufacturers can enhance product authenticity and customer satisfaction while minimizing errors in production.

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