Identify the sport being played
using AI
Below is a free classifier to identify the sport being played. Just upload your image, and our AI will predict what sport is being played - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("sport-being-played-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/sport-being-played-identifier/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/sport-being-played-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what sport is being played.
This pretrained image model uses a Nyckel-created dataset and has 75 labels, including Soccer and Basketball.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what sport is being played).
Whether you're just curious or building the sport being played detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the sport being played at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Sports Broadcasting Enhancement: This use case involves integrating the multilabel image classification function into live sports broadcasts. By identifying multiple sports being played simultaneously, broadcasters can provide real-time analytics, replays, and highlights, enhancing viewer engagement and experience.
- Social Media Content Tagging: Social media platforms can utilize this function to automatically tag and categorize images uploaded by users that depict various sports. This feature can help in curating sports-related content, allowing users to discover popular sports trends, increase engagement, and promote user-generated content.
- Sportswear Retail Analytics: E-commerce platforms can leverage this technology to analyze images of customers engaging in different sports while wearing their products. By understanding which sports their products are most associated with, retailers can tailor their marketing strategies and inventory management to align better with customer preferences.
- Urban Planning and Facility Management: City planners and facility managers can use this function to monitor images captured in public spaces to assess which sports are most commonly played in different areas. This information can inform the allocation of resources, such as building new facilities or maintaining existing ones based on prevalent local interests.
- Sports Training and Coaching Tools: Coaches and trainers can integrate this classification technology into their training videography systems to analyze performances. By automatically tagging various sports actions, coaches can review specific techniques and tactics, enhancing training regimens and player development by focusing on relevant sport dynamics.
- Event Management and Marketing: Organizers of sports events can use this multilabel classification to assess images from past events to gain insights into which sports attracted the most interest. This data can guide marketing strategies and facilitate the selection of sports for future events, ensuring maximum attendance and engagement.
- Insurance and Risk Assessment: Insurance companies can utilize this image classification to assess risks associated with different sports accurately. By identifying images from various sports activities, they can tailor their policies and premiums according to the perceived risk levels, leading to better risk management and customer satisfaction.