Sport Vision

API

AI-powered image analysis for sports: identify sports, brands, gear, and generate captions

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Overview

Sport Vision API provides RESTful endpoints for AI-driven sports image analysis. Core endpoints include POST /analyze (upload image via URL/file to detect sports, brands, gear) and POST /caption (generate context-aware sports captions). Responses are JSON-formatted with structured data: detected sport labels (confidence scores), brand identifiers, gear categories, and natural language captions. Ideal for sports content creators automating image tagging, e-commerce platforms (like Decathlon) organizing product imagery, fitness apps enhancing user photo context, and media outlets generating accurate sports image captions quickly.

Example Integration (JavaScript)

script.js JS

fetch('https://developers.decathlon.com/products/sport-vision')
  .then(res => res.json())
  .then(data => console.log(data))
  .catch(err => console.error(err));

Key Features

  • RESTful API
  • JSON response format
  • AI-driven sport detection
  • Brand & gear identification
  • Sports image captioning
  • Supports URL/file image inputs

Frequently Asked Questions

? Is Sport Vision free to use?

Sport Vision offers a freemium model—free tiers for limited usage, with paid plans for higher volume or advanced features.

? Does it require an API Key?

Yes, you need to register on the Decathlon Developers portal to obtain an API key for authentication.

? What is the response format?

All responses are in JSON format, including detected sports (with confidence scores), brand names, gear categories, and generated captions.

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Tool Info

Pricing Freemium
Category Sports & Fitness
Platform Public API

Pros

  • Leverages Decathlon's sports domain expertise
  • Combines detection + captioning in one API
  • Well-documented developer resources
  • High accuracy for sports-related imagery

Cons

  • Rate-limited in free tiers
  • Requires API key authentication
  • Exclusively sports-focused (no general use)
  • Paid tiers for high-volume usage

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