Identify playing piece direction
using AI
Below is a free classifier to identify playing piece direction. Just upload your image, and our AI will predict the direction of each playing piece - 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("playing-piece-direction", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/playing-piece-direction/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/playing-piece-direction/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the direction of each playing piece.
This pretrained image model uses a Nyckel-created dataset and has 7 labels, including Any, Backward, Diagonal Backward, Diagonal Forward, Forward, Left and Right.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the direction of each playing piece).
Whether you're just curious or building playing piece direction detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify playing piece direction at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Game Strategy Analysis: The 'playing piece direction' identifier can be used in board games and video games to analyze player strategies. By monitoring the movement directions of game pieces, developers can identify winning patterns and refine AI algorithms for opponent simulation.
- Training for Competitive Players: Coaches can utilize the direction identifier to review and analyze the movements of competitive players during practice sessions. By examining specific movement patterns, coaches can provide tailored feedback to enhance players' tactical decisions in real-time.
- Game Design Feedback: Game designers can apply this function during playtesting to gauge player engagement based on movement direction. By collecting data on how players navigate the game board or environment, designers can adjust mechanics to improve user experience and enjoyment.
- Enhanced AI Opponents: Game developers can implement the direction identifier to create more intelligent AI opponents that adapt their strategies based on the player's movements. This can lead to a more challenging and dynamic gaming experience, raising the overall quality of the game's AI framework.
- Sports Analytics: In sports simulations, the identifier can analyze players' movements and decision-making during gameplay. This data can be utilized by analysts to gain insights into team formations and individual player performance trends, leading to better training methodologies.
- Motion Capture for Animation: The technology behind the direction identifier can be harnessed in animation studios to track and analyze how characters move in relation to their playing environment. This can streamline the animation process by providing accurate motion data for character direction and positioning.
- Augmented Reality Gaming: In AR games, the identifier can help track players' movements to ensure that their interactive experience aligns with the virtual environment. This is crucial for maintaining immersion and accuracy, allowing players to interact seamlessly with digital elements placed in their physical space.