Identify sti version
using AI
Below is a free classifier to identify sti version. Just upload your image, and our AI will predict what type of STI it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("sti-version", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/sti-version/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/sti-version/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of STI it is.
This pretrained image model uses a Nyckel-created dataset and has 26 labels, including Ga, Ga2, Gb, Gb8, Gbd, Gc7, Gc8, Gc9, Gca and Gcat.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of STI it is).
Whether you're just curious or building sti version detection into your application, we hope our classifier proves helpful.
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Need to identify sti version at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: This function can be employed by social media platforms to automatically identify and filter out false or misleading images, maintaining community standards. By flagging potential false images, the platform can reduce the spread of misinformation and enhance user trust.
- E-commerce Verification: Online retailers can utilize this function to verify product images uploaded by sellers. It helps ensure that the images displayed are authentic and not misleading, thereby improving customer satisfaction and reducing returns.
- Insurance Claim Validation: Insurance companies can implement this function to assess images submitted for claims. By identifying potentially manipulated or false images, they can reduce fraud and make more informed decisions regarding payouts.
- News and Journalism Integrity: News organizations can use this function to verify the authenticity of images shared in reports. By confirming the source and accuracy of images, they can uphold journalistic standards and avoid disseminating false information.
- Legal Evidence Assessment: Legal firms can leverage this function to analyze photographic evidence submitted in court cases. By detecting false images, they can ensure that the evidence presented is valid, thereby strengthening case arguments.
- Social Media Campaigns: Marketers can apply this function to validate images in advertising campaigns. This helps ensure that the images used are truthful and representative of the product, fostering customer trust and brand integrity.
- Scientific Research Validation: Researchers can use this function to scrutinize images used in publications for authenticity. By verifying that the images accurately represent the research findings, they can uphold the integrity of scientific literature and prevent misinformation.