Identify is this a sweet pea
using AI
Below is a free classifier to identify is this a sweet pea. Just upload your image, and our AI will predict if it's a sweet pea - 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("is-this-a-sweet-pea", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/is-this-a-sweet-pea/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/is-this-a-sweet-pea/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's a sweet pea.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Is A Sweet Pea and Is Not A Sweet Pea.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's a sweet pea).
Whether you're just curious or building is this a sweet pea detection into your application, we hope our classifier proves helpful.
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Need to identify is this a sweet pea at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Agricultural Monitoring: This function can be utilized by farmers and agricultural scientists to quickly identify sweet pea crops during field inspections. By automating the classification process, farmers can monitor the health and growth status of their sweet pea plants more efficiently.
- Supply Chain Management: Companies in the agricultural supply chain can use this identification tool to verify the quality of sweet peas at various stages of processing. Accurate classification enables producers to ensure consistency and quality before products reach retailers.
- Food Quality Control: Food manufacturers can integrate this function into their quality control processes to check for the presence of sweet peas in prepared meals and snacks. This helps to ensure that products meet labeling requirements and prevents allergen issues for consumers.
- Retail Inventory Management: Grocery retailers can employ this image classifier to manage inventory better by quickly identifying sweet peas on store shelves. This ensures that the right stock is maintained and that fresh products are prioritized for display, reducing waste.
- Consumer Education Apps: Developers can incorporate the sweet pea identification feature into mobile apps aimed at educating consumers about different crops. Users can take pictures of plants to learn whether they are sweet peas, enhancing knowledge about nutrition and culinary uses.
- Research and Development: Agricultural researchers can utilize this function in studies focused on breeding and genetics of sweet pea varieties. It helps in monitoring experimental plots and efficiently gathering data on sweet pea growth and characteristics.
- Botanical Gardens and Educational Institutions: Botanical gardens and schools can integrate the sweet pea classifier into interactive exhibits for visitors. This technology can provide real-time information about the plant species, enhancing the educational experience and promoting engagement with botany.