Identify packshot images
using AI
Below is a free classifier to identify packshot images. Just upload your image, and our AI will predict if it's packshot or not - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("packshot-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/packshot-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/packshot-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's packshot or not.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Packshot or Not Packshot.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's packshot or not).
Whether you're just curious or building packshot images detection into your application, we hope our classifier proves helpful.
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Need to identify packshot images at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
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- Logistics: Identify product images for shipment documentation to ensure accuracy. Separate non-product images from shipment records to maintain documentation clarity.
- Publishing: Curate product images for magazine features to match editorial guidelines. Exclude non-product images from publication drafts to maintain visual consistency.
- Manufacturing: Sort product images for quality control to verify production standards. Identify unrelated images in production records to avoid documentation errors.
- Social Media: Filter product images for posts to ensure content relevance. Remove non-product images from social media libraries to maintain brand focus.