Identify angle finder type using AI

Below is a free classifier to identify angle finder type. Just upload your image, and our AI will predict the type of angle it is. - in just seconds.

angle finder type identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("angle-finder-type", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/angle-finder-type/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/angle-finder-type/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the type of angle it is..

This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Adjustable Angle Ruler, Analog Protractor, Angle Finder, Angle Protractor, Bevel Gauge, Carpenters Square, Clinometer, Digital Protractor, Electronic Level and Inclinometer.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of angle it is.).

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

Recommended Classifiers

Need to identify angle finder type at scale?

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



  • Quality Control in Manufacturing: This function can be used in manufacturing plants to automatically identify and classify images of products to ensure they meet the specified angle and orientation requirements. By flagging false classifications, the system can help reduce defects and improve overall product quality.

  • Augmented Reality for Retail: Retail businesses can leverage this function to enhance augmented reality applications by ensuring that virtual products are displayed at the correct angles. This ensures that customers have a realistic view of items before purchasing, ultimately improving customer satisfaction and reducing return rates.

  • Self-Driving Vehicle Navigation: In the development of self-driving cars, accurate angle detection of surrounding objects is crucial for navigation and obstacle avoidance. The false image classification function can enhance the perception system, allowing vehicles to better identify and classify various road elements at different angles.

  • Medical Imaging Analysis: In the healthcare sector, this function can improve the accuracy of medical imaging technologies by identifying misaligned or incorrectly captured images. This will allow for better diagnostics and treatment planning, enhancing patient outcomes.

  • Drone Imaging for Agriculture: Drones equipped with imaging technology can use this function to classify fields and crop conditions accurately. This helps farmers determine the state of their crops and apply resources more efficiently by accurately identifying areas that need attention.

  • Sports Analytics: Sports teams can utilize this function to analyze player movements and formations during games by classifying the angles at which different players are positioned. This can provide strategic insights for improving teamwork and game tactics.

  • Content Moderation for Social Media: Social media platforms can implement this false image classification function to identify improperly oriented images that violate content guidelines. This ensures a better user experience and compliance with community standards by highlighting problematic content quickly.

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