Pretrained computer vision classifier

Identify bamboo species with one API call.

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

Use this classifier Try with your image

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

nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke

Bamboo Species A 0.92

Bamboo Species B 0.05

Try the bamboo species classifier

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

What this bamboo species classifier recognizes

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

Bamboo Species A

Bamboo Species B

Bamboo Species C

Bamboo Species D

Bamboo Species E

Bamboo Species F

Bamboo Species G

Bamboo Species H

Bamboo Species I

Bamboo Species J

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 bamboo 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"}'

import requests

response = requests.post(
    "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
    headers={"Authorization": "Bearer YOUR_ACCESS_TOKEN"},
    json={"data": "https://example.com/photo.jpg"},
)
print(response.json())

const response = await fetch("https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_ACCESS_TOKEN",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ data: "https://example.com/photo.jpg" }),
});
console.log(await response.json());

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"data": "https://example.com/photo.jpg"}');

$headers = array();
$headers[] = 'Authorization: Bearer YOUR_ACCESS_TOKEN';
$headers[] = 'Content-Type: application/json';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);

$result = curl_exec($ch);
curl_close($ch);
echo $result;

Create free account to get your live API key Clone this function to get a live API key

How to invoke a function →

Example response

{
  "labelName": "Bamboo Species A",
  "labelId": "label_...",
  "confidence": 0.92
}

API documentation Authentication Pricing Get your endpoint

Under the hood

Model type

Nyckel-trained

Trained on a Nyckel-curated dataset covering 10 bamboo 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 bamboo species classification

Bamboo Timber Industry

This function can be used by timber companies to classify different species of bamboo, facilitating the selection of the right bamboo type for construction and manufacturing. Accurate identification ensures the appropriate size and strength requirements are met, optimizing material usage and reducing waste.

Environmental Conservation

NGOs and researchers can utilize this identifier to assess biodiversity in forested areas by accurately detecting bamboo species. This information can inform conservation efforts and help track the health of ecosystems that rely on specific bamboo species.

Agricultural Assessment

Farmers and agricultural scientists can identify bamboo species to promote sustainable practices in bamboo cultivation. Accurate identification can aid in developing targeted farming techniques and pest management strategies that respect the ecological balance of bamboo groves.

Landscape Design

Landscape architects can leverage this function to choose appropriate bamboo species for urban landscaping and erosion control projects. By accurately identifying species, designers can select varieties that thrive in specific local conditions, improving the project's sustainability and aesthetic appeal.

Research and Education

Educational institutions can implement this identifier in botany courses to teach students about bamboo diversity. By classifying different species, students can enhance their understanding of plant biology and ecosystem interactions.

Biotechnology and Pharmaceuticals

Biotechnology companies can use the species identifier to screen for bamboo species with potential medicinal properties. Accurate identification allows researchers to curate species that may offer new compounds for drug development, enhancing the biopharmaceutical pipeline.

Ecotourism Development

Ecotourism companies can utilize this function to enhance tour experiences focused on native bamboo forests. Identifying species helps in creating educational content for tourists, promoting awareness, and fostering a connection to local biodiversity while supporting conservation efforts.

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 bamboo 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 bamboo 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.

Use this classifier Read the docs