Identify width of pot lid in inches
using AI
Below is a free classifier to identify width of pot lid in inches. Just upload your image, and our AI will predict the width of a pot lid in inches - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("width-of-pot-lid-in-inches", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/width-of-pot-lid-in-inches/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/width-of-pot-lid-in-inches/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the width of a pot lid in inches.
This pretrained image model uses a Nyckel-created dataset and has 52 labels, including 1 Inch, 10 Inches, 11 Inches, 12 Inches, 13 Inches, 14 Inches, 15 Inches, 16 Inches, 17 Inches and 18 Inches.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the width of a pot lid in inches).
Whether you're just curious or building width of pot lid in inches detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify width of pot lid in inches at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: This function can be employed in a manufacturing environment to ensure that pot lids meet specified width standards. Automated systems can scan and classify lids, helping to detect any defective products before they leave the facility, thus reducing return rates.
- E-commerce Inventory Management: Online retail platforms can use this function to verify the attributes of pot lids in their inventory. By accurately classifying the width, retailers can enhance listing accuracy, leading to better customer satisfaction and fewer order discrepancies.
- Kitchenware Design Validation: Designers and engineers in kitchenware companies can utilize this classification function to ensure that new lid designs conform to desired specifications. This helps streamline the prototyping phase and reduces the chances of producing misfit products.
- Home Appliance Compatibility Checking: Manufacturers of cooking appliances can leverage this function to determine if pot lids are compatible with their products. This information helps to guide consumers in making informed purchases, enhancing customer experience and lowering return rates.
- Market Research and Trend Analysis: Researchers in the kitchenware industry can use the width classification function to analyze market trends and consumer preferences. By understanding what sizes are dominating the market, companies can strategize production and marketing efforts accordingly.
- Recipe Development Applications: Cooking apps can incorporate this function to assist users in verifying which pot lids fit their cookware based on desired recipes. This ensures that users select the correct lid size, preventing cooking issues and enhancing the culinary experience.
- Sustainable Manufacturing Initiatives: Companies focused on sustainability can utilize this classification function to monitor production efficiency and minimize waste. By accurately classifying pot lids, companies can better manage resources and reduce material waste related to misproduction.