Pretrained computer vision classifier

Identify orchid species with one API call.

A pretrained orchid species classifier that sorts an image into one of 10 categories — what species of orchid it is. Use the orchid species API immediately, no training required, then adapt it to your own data when you need more.

Pretrained · Nyckel-trained 10 labels out of the box Image input

Try the orchid species classifier

Drop in a photo and get the prediction back. No signup, no setup.

What this orchid species classifier recognizes

A sample of the 20 labels this pretrained classifier chooses between.

Bletilla
Brassia
Catasetum
Cattleya
Coelogyne
Cymbidium
Dendrobium
Encyclia
Laelia
Lycaste

Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.

Call the orchid species API

Get your own copy of this classifier behind your own endpoint — callable from any HTTP client:

API quick start
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"data": "https://example.com/photo.jpg"}'

Example response

{
  "labelName": "Bletilla",
  "labelId": "label_...",
  "confidence": 0.92
}

Under the hood

Model type
Nyckel-trained

Trained on a Nyckel-curated dataset covering 10 orchid species categories, served on Nyckel's own infrastructure — your image stays on Nyckel.

Input
Image

Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.

Make it yours
Adaptable

Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.

More than a demo: this page is one of thousands of pretrained functions on Nyckel, an ML classification platform. You can invoke classifiers by API, review predictions, correct labels, collect samples from production traffic, and promote any pretrained function to a private custom model — without changing your integration.

Where teams use orchid species classification

Botanical Research Support

The orchid species identifier can be utilized by researchers in botany to categorize and analyze orchid species in diverse ecosystems. This tool can streamline data collection and enhance the accuracy of species identification, facilitating better research outcomes.

Horticultural Supply Chain Optimization

Nurseries and garden centers can employ the orchid species identifier to manage inventory more efficiently. By accurately identifying species, businesses can tailor their purchasing strategies, ensuring they stock popular and high-demand orchids.

Educational Tool for Students

Educational institutions can incorporate the orchid species identifier into their curriculum to enhance students' learning experiences in plant biology. This interactive tool can make the study of plant taxonomy engaging and accessible, offering students practical insights into orchid classification.

Mobile Gardening Apps

Developers of gardening applications can integrate the orchid species identifier to assist amateur gardeners in identifying orchids in their homes or local habitats. This feature would provide users with care tips and growing conditions for specific species, enhancing their gardening success.

Conservation Efforts

Conservation organizations can utilize the orchid species identifier to help monitor and protect endangered orchid species. By accurately tracking species distribution and health, conservationists can develop more effective conservation strategies to preserve biodiversity.

Tourism and Ecotourism

Eco-tourism companies can use the orchid species identifier to enrich the experiences of tourists interested in orchids. Guided tours enhanced by this tool can lead to informative interactions about local flora, promoting eco-friendly tourism while educating visitors.

AI-Powered Gardening Services

Gardening service providers can leverage the orchid species identifier to offer personalized gardening consultations. By correctly identifying orchid species, they can recommend tailored care plans and maintenance strategies, leading to healthier plants and satisfied customers.

Common questions

What's the difference between a zero-shot and a Nyckel-trained classifier?

A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.

How do I know whether this will work for my application?

Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of images in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.

What happens when it makes a mistake?

No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.

Do I need training data to get started?

No. This orchid species classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.

What does it cost to try?

Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.

Ready to classify orchid species at scale?

Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.