Identify how many people are unloading a boat
using AI
Below is a free classifier to identify how many people are unloading a boat. Just upload your image, and our AI will predict how many people are unloading a boat - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("how-many-people-are-unloading-a-boat", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/how-many-people-are-unloading-a-boat/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/how-many-people-are-unloading-a-boat/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict how many people are unloading a boat.
This pretrained image model uses a Nyckel-created dataset and has 12 labels, including 0, 1, 10, 10+, 2, 3, 4, 5, 6 and 7.
We'll also show a confidence score (the higher the number, the more confident the AI model is around how many people are unloading a boat).
Whether you're just curious or building how many people are unloading a boat detection into your application, we hope our classifier proves helpful.
Need to identify how many people are unloading a boat at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Maritime Logistics Optimization: Shipping companies can deploy this image classification function to monitor the unloading process of boats. By accurately identifying the number of people unloading, companies can optimize crew deployment and improve overall efficiency in cargo handling.
- Safety Compliance Monitoring: Ports and marinas can utilize this function to ensure that safety regulations are being followed during boat unloading activities. By tracking how many personnel are actively unloading, management can identify potential safety risks and ensure compliance with safety protocols.
- Personnel Management: Businesses can leverage the image classification to gauge staffing levels during unloading operations. By analyzing data on the number of people present, management can make informed decisions about hiring, scheduling, and resource allocation.
- Performance Analytics: This function can help organizations assess the productivity of unloading operations over time. By monitoring variations in the number of people unloading, businesses can correlate staffing levels with unloading efficiency and performance metrics.
- Environmental Impact Assessment: Environmental agencies can use this image classification tool to study human activity around water bodies. By analyzing how many people are involved in unloading boats, researchers can assess the potential impacts of increased human activity on local ecosystems.
- Event Management: During large events or festivals involving boat unloading, organizers can utilize this function for crowd control and management. By monitoring the number of people unloading, they can ensure safe operations and avoid congested areas during peak times.
- Insurance Risk Evaluation: Insurance companies can apply this image classification system to assess risk factors associated with maritime activities. By determining the number of personnel involved in unloading operations, insurers can refine their risk models for policies covering marine activities and related liabilities.