Identify if someone is boxing
using AI
Below is a free classifier to identify if someone is boxing. Just upload your image, and our AI will predict if someone is boxing - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-someone-is-boxing", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-someone-is-boxing/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/if-someone-is-boxing/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if someone is boxing.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Boxing and Not Boxing.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if someone is boxing).
Whether you're just curious or building if someone is boxing detection into your application, we hope our classifier proves helpful.
Need to identify if someone is boxing at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fitness App Monitoring: A fitness application could integrate the boxing identifier to track users' boxing workouts. This feature would allow users to log their exercise routines and measure the intensity and duration of their boxing sessions, encouraging consistent training.
- Sports Analysis for Coaches: Coaches can utilize the boxing identifier to analyze athletes’ training techniques and performance during boxing drills. By monitoring and recording the instances of boxing, they can provide detailed feedback and tailor training programs to enhance their athletes' skills.
- Automated Content Generation for Sports Media: Sports media outlets can implement this function to automatically generate content related to boxing matches or training clips. By identifying instances of boxing in video footage, they can create highlight reels and breakdowns, providing fans with engaging material.
- Event Security and Incident Detection: Security teams at boxing events could use this identifier to monitor video feeds for any unusual behavior. Identifying real boxing activity can help distinguish between actual matches and potential disturbances, allowing for quicker response in security scenarios.
- Televised Sports Analytics: Broadcasters can enhance viewer experience during live boxing events by providing statistics and analysis in real-time. The boxing identifier can help track specific moments in a fight, offering insights into fighter performance and strategies directly during the broadcast.
- Youth Boxing Programs: Youth training programs can utilize the boxing identifier to ensure that participants engage in appropriate boxing drills. This can help instructors monitor progress and create tailored lesson plans, while also ensuring that safety guidelines are upheld during activities.
- Virtual Reality Training Simulations: Developers of VR training simulations can implement this feature to provide realistic boxing experiences. By accurately identifying boxing actions, these simulations can enhance engagement and provide users with a credible training environment that mimics actual boxing scenarios.