Sports classification

An ML model that identifies sport activities depicted in images, empowering diverse industries with precise content organization and targeted applications


The Sport classifier is a state-of-the-art artificial intelligence service. Its primary function is to analyze and classify images based on the sports activities they depict. Utilizing cutting-edge deep learning techniques and neural networks, this model can accurately identify various sports and provide valuable insights for content organization and a wide range of applications.

The model offers a diverse set of sports categories, including but not limited to football, basketball, tennis, swimming, gymnastics, baseball and many more. It ensures precise tagging and categorization of sports-related images, making it an indispensable tool for media agencies and content managers.

Typical Use Cases

Sports classification can be applied in multiple domains, including:

  • Sports media coverage - By quickly identifying the sport depicted in an image, journalists and editors can efficiently organize their image archives and provide real-time coverage during sporting events, enhancing storytelling and enriching their publications.

  • Sports analytics - The model can aid in automating the process of collecting data by categorizing images from games and training sessions.

  • Sports product marketing - Sports brands and retailers can utilize the model to optimize their marketing efforts. Sorting images of athletes engaging in specific sports can aid in the creation of targeted campaigns.

  • Search enhancement - Precise sport categorization can optimize the process of searching and filtering assets, enabling users to find relevant images for their projects with ease.

API endpoints

An up-to-date reference with all API endpoints is available here:

Example API responses

Input imageInput image
API responseAPI response

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