Identify academic publishers by logo using AI

Below is a free classifier to identify academic publishers by logo. Just upload your image, and our AI will predict what academic publisher the logo belongs to - in just seconds.

academic publishers by logo identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("academic-publishers-by-logo", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/academic-publishers-by-logo/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/academic-publishers-by-logo/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what academic publisher the logo belongs to.

This pretrained image model uses a Nyckel-created dataset and has 32 labels, including Academic Press, Acm, Apl, Asme, Blackwell Publishing, Brill, Cambridge, Cambridge Open Engage, Cambridge University Press and Corda.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what academic publisher the logo belongs to).

Whether you're just curious or building academic publishers by logo detection into your application, we hope our classifier proves helpful.

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Need to identify academic publishers by logo at scale?

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



  • Brand Management: Academic publishers can leverage the logo identifier to monitor brand presence across various platforms. By automatically detecting their logos in academic articles, social media, and other digital content, publishers can assess their visibility and reputation.

  • Copyright Enforcement: The image classification function can help academic publishers identify unauthorized usage of their logos. This can facilitate the enforcement of copyright policies, ensuring that their intellectual property is used appropriately and safeguarding their brand integrity.

  • Market Research: Publishers can analyze the frequency and context in which their logos appear in the academic landscape. This data can inform strategic decisions related to marketing, outreach, and academic collaborations, ultimately enhancing their competitive advantage.

  • Partner Identification: By utilizing this technology, academic publishers can automatically identify institutions or researchers who cite their works and use their logos. This can assist in identifying potential partnerships and collaborations, fostering a stronger academic community.

  • Automated Reporting: The logo identifier can generate automated reports reflecting logo usage trends over time. This analytics tool could provide insights into the effectiveness of branding efforts and the overall impact of marketing campaigns.

  • User Engagement: Publishers can use logo detection to create personalized content for researchers and academic institutions that have engaged with their materials. Tailored newsletters or promotional materials can be designed to enhance user engagement based on logo recognition.

  • Institutional Rankings: The identifier can play a role in assessing the visibility and impact of academic institutions based on their use of publisher logos. This can be used for creating rankings or metrics that showcase the influence of specific publishers within the academic community.

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