Identify go stone placement
using AI
Below is a free classifier to identify go stone placement. Just upload your image, and our AI will predict the optimal location to place a Go stone - 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("go-stone-placement", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/go-stone-placement/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/go-stone-placement/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the optimal location to place a Go stone.
This pretrained image model uses a Nyckel-created dataset and has 24 labels, including Back Corner, Bottom Edge, Bottom Left, Bottom Right, Center, Center Line, Corner, Edge, Far Edge and Front Corner.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the optimal location to place a Go stone).
Whether you're just curious or building go stone placement detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify go stone placement at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: The 'go stone placement' identifier can help manufacturers ensure quality by verifying that components are positioned correctly on assembly lines. By integrating this function into visual inspection systems, deviations from optimal placements can be detected in real-time, reducing defects and enhancing productivity.
- Autonomous Drone Navigation: Drones equipped with the 'go stone placement' identifier can accurately determine landing spots on uneven terrain. This can improve navigation accuracy for agricultural monitoring, search-and-rescue missions, and delivery services, ensuring drones operate efficiently even in challenging environments.
- Robotic Surgery Assistance: In the medical field, the function can assist robotic surgical systems by identifying correct placements of instruments or grafts. This added layer of verification can improve surgical precision and reduce the likelihood of human error during complex procedures.
- Augmented Reality Gaming: The 'go stone placement' identifier can enhance the immersive experience in augmented reality (AR) games by accurately recognizing physical placements of game elements. This increases user engagement and satisfaction, as players can interact with their environment more seamlessly.
- Smart Home Installation: Home automation companies can use this function to verify the correct placement of smart devices during installation. This ensures that all components work as intended, leading to better customer experiences and reducing the likelihood of support calls due to incorrect installations.
- Landscaping and Urban Design: The identifier can assist landscape architects and urban planners by verifying the correct placement of stones and other elements in outdoor spaces. This ensures that designs are executed as intended, improving aesthetic appeal and functional outcomes in public and private spaces.
- Construction Site Monitoring: Construction companies can deploy this function to monitor stone and material placements at construction sites. By leveraging this technology, teams can ensure compliance with design specifications, enhance safety protocols, and streamline project timelines by catching misplacements early.