A pretrained clue weapon type classifier that sorts an image into one of 10 categories — what type of weapon it is. Use the clue weapon type API immediately, no training required, then adapt it to your own data when you need more.
Drop in a photo and get the prediction back. No signup, no setup.
A sample of the 20 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Once you've added this classifier to your console, you get your own copy of it behind your own endpoint. Invoke it with any HTTP client:
curl
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer $NYCKEL_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'Python
import requests
# Get an access token: https://www.nyckel.com/docs/api/overview/authentication/
token = "YOUR_ACCESS_TOKEN"
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer " + token},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())Example response
{
"labelName": "Axe",
"labelId": "label_...",
"confidence": 0.92
}Trained on a Nyckel-curated dataset covering 10 clue weapon type categories, served on Nyckel's own infrastructure — your image stays on Nyckel.
Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.
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.
The 'clue weapon type' identifier can be integrated into forensic tools to analyze images from crime scenes. By classifying weapon types based on visual cues, investigators can rapidly produce leads and focus their inquiries on specific types of weapons associated with criminal activities.
Insurance companies can use this function to evaluate claims involving weapons or violence. By identifying the type of weapon involved in a claim, insurers can quickly assess the validity of claims and flag potentially fraudulent activities based on discrepancies in reported weapon types.
Retailers can implement this technology in security systems to categorize weapon types during theft attempts. By analyzing surveillance footage in real-time, stores can enhance their security measures and ensure proper responses are initiated with the correct awareness of the threat level.
Police training programs can utilize the classifier to simulate various scenarios involving different weapon types. By using image datasets, recruits can gain familiarity with how to react appropriately in different combat situations based on the identified weapon type, thereby improving their response times and decision-making skills.
Municipalities can deploy this technology within public monitoring systems to enhance safety. By detecting and categorizing weapon types in real-time, public safety organizations can proactively manage threats and alert law enforcement personnel when potentially dangerous situations arise.
Organizations requiring high-level security clearances can use this function to assess risks associated with applicants. By analyzing any uploaded images or social media content for weapon types, security teams can more effectively evaluate an individual’s potential threat to national or corporate security.
Social media platforms can leverage the weapon type identifier to monitor and flag potentially harmful content. By classifying images of weapons in user-generated content, moderators can enforce community standards and ensure that any content promoting violence is swiftly reviewed and acted upon.
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.
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.
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.
No. This clue weapon type 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.
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.
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.