Identify float type using AI

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

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("float-type", "your_image_url", credentials)


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

How this classifier works

To start, upload your image. Our AI tool will then predict the float type of the object in the image..

This pretrained image model uses a Nyckel-created dataset and has 26 labels, including Acrylic, Aluminum, Bronze, Buckled Plastic, Carbon Fiber, Ceramic, Composite, Copper, Epoxy and Fabric.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the float type of the object in the image.).

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

Need to identify float type at scale?

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

Fraud Detection: This function can be employed in financial institutions to classify transactions as legitimate or fraudulent. By analyzing transaction patterns and identifying irregularities, it helps in minimizing loss from false claims and improving overall security.

Content Moderation: Many online platforms require accurate image classification to filter harmful or inappropriate content. This function can be used to flag or remove such images, ensuring that user-generated content adheres to community guidelines and enhances user safety.

Medical Imaging: In the healthcare sector, this function can assist in classifying medical images, such as X-rays or MRIs, as either normal or requiring further investigation. This can streamline the diagnostic process and prioritize cases, improving patient outcomes.

Autonomous Vehicles: Self-driving technology relies heavily on image classification for environment perception. This function can help in distinguishing between various objects on the road, enhancing decision-making for navigation and improving passenger safety.

Retail Analytics: Retailers can utilize this function to classify images of products or displays as compliant or non-compliant with brand standards. This aids in maintaining visual merchandising quality across stores and ensures that marketing strategies are effectively implemented.

Agricultural Monitoring: In agriculture, this function can classify plant images as healthy or diseased. By detecting problems early, farmers can take action to protect crops, improve yield, and reduce reliance on pesticides.

Social Media Analysis: Companies can use this image classification function to analyze user-uploaded images for brand sentiment and engagement. By identifying whether images align positively or negatively with brand messaging, businesses can refine their marketing strategies and enhance customer interaction.